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Job Description The Lead Electrical Designer (or Engineer) is a senior member & manager of the project team, working under the direct supervision of the Trade Design Manager (or Senior Engineer) to lead and manage project teams & design initiatives. This includes supervising a team of Design professionals with a goal to complete high-quality trade-specific schematics & layouts based on solid design principles. The Lead Designer manages all design team project functions, including surveys, calculations, selections & layouts, performs all project phases and is called upon to play a lead role in effectively communicating with peers, supervisors, vendors, consultants, clients & stakeholders. This includes providing leadership support in the construction administration process with the ability to process and review shop drawings, perform field observations, and prepare respective reports. The Lead Designer is fully capable of assuming the Job Captain function, and directly managing the training, development & project execution of direct-report project team members. Qualifications • Minimum 6yrs experience working as a Designer, of which at least 2yrs were spent in a Senior Designer Role, as part of a professional engineering project team, under the direct or indirect supervision of a licensed professional engineer., • Minimum 2yrs experience leading engineering projects of various sizes and complexities., • 4-year Engineering degree., • Professional Engineering License preferred., • Great interpersonal skills., • Polished communication skills (both verbal & writing)., • Highly organized and composed under pressure., • Proven project management ability, with demonstrated experience managing direct reports to strict timelines with multiple projects to meet deadlines under high-pressure environment., • Advanced proficiency with Microsoft Office., • Working knowledge of AutoCAD & REVIT., • Possesses a keen eye for detail. Expectations Trade-Specific Competency - For Electrical Engineers Level 4 (Functional Mastery) • Can ably recognize even the most complex types of existing systems and apply solutions to the most complex engineering problems., • Can independently design complex electrical systems with inherent knowledge, minimal research & direction, and use of company standards & templates., • With minimal supervision, can develop intricate electrical room and system designs/layouts and selection of advanced equipment., • Ability to write sequence of operations with minimal supervision., • Advanced knowledge of codes and standards. Can ably research when required., • With minimal supervision, can generate specifications based on company standard templates., • Self-sufficient in producing existing conditions surveys and due diligence reports including cost estimates., • Educates L3 engineers. Core Competencies Project Management Level 4 (Functional Mastery) Project Management • Exhibits project process mastery with confidence and humility. Demonstrated ability to see the big picture and keep the team focused on key team & company goals, and on the client experience. Ensures effective collaboration between team members, understands the various personalities, and how they can best work together for the good of the whole. Habitually performs Project Manager responsibilities without assistance & with the highest degree of efficiency. Relationship Management • Fosters a collaborative culture, with demonstrated experience training & developing staff. Demonstrated ability to oversee team coordination with managers, clients, and team members to set expectations, deliverables, and objectives. Delegates workload assignments effectively & inspires others. Problem Solving • Teaches the team to view problems as opportunities to grow & fosters a solution-based thinking culture, where the team brings ideas & solutions to the table. Enables the team to fill knowledge gaps through active & proactive research. Assesses team issues from different vantage points, thinks "outside the box", & formulates the most effective solution in addressing specific challenges. Takes a "prevent rather than intervene" approach by focusing on team quality and due diligence. Customer Satisfaction • Ensures that the team focuses on the client experience and keeps the customer perspective in mind. Teaches the team to have a "customer is always right" approach. Elicits feedback from direct reports and creates strategies to help the team serve customers more effectively. Job Captain • Demonstrated ability to perform consistently satisfactory Job Captain responsibilities. The Job Captain is counted on to: Take Ownership The Job Captain is responsible for taking ownership of the coordination of project deliverables and issuances with the project team. This means coordinating between the project team and other MGE groups on the timely and accurate set-up/issuance of project documentation. This means to: • Quarterback the project start-to-finish. Seeing the project through and making sure it goes out correctly., • Include the right stakeholders in your communication., • Coordinate with all departments and take ownership of the process throughout the entire project lifecycle. Apply Quality, & Ensure it The Job Captain serves as an important quality control point, by checking project documentation for completeness and accuracy prior to submitting for issuance. This means to: • Submit all completed checklists to the Project Manager., • Provide final clearance on project issuance., • Escalate concerns quickly and decisively., • Ensure checklists, issue sheets and other pertinent documentation are accurately completed before sending., • Make sure all pencils are down before submitting a set for issuance., • Own the quality control process. Make sure the right engineers have checked their design before submitting it to you for issuance., • Check the drawings for accuracy before they go out., • Ensure backgrounds and xrefs are up to date., • Coordinate the issuance of Project Manuals (Book Specifications) if applicable., • Coordinate and check the Issued Drawings List for every drawing issuance., • Double check to see if the backgrounds received from the architects are correct., • Ensure the proper drawings are compiled and issued., • Communicate the status of the issuance through completion., • Follow-up with the client to ensure the package was received. Ensure Project Documentation is Correct The Job Captain ensures that proper project documentation is thoroughly, correctly, and consistently followed. This includes (but is not limited to): • Correct drawing set-up and filing., • Correct folder structure set-up and ongoing maintenance., • Correct and timely issue sheets., • Correct post-project filing and archiving., • All changes are bubbled appropriately. If a drawing is being filed for the first time, there should be no bubbling., • Delta in the revisions must match the Delta in the title block., • All applicable DOB notes should be turned on for DOB filing. If a job is outside New York, any NY-related notes should be turned off., • The PAA sub-number is correct., • The initials of the team members are on the title blocks for all drawings. XX does not work here., • Include the correct DOB Now number., • Be clear with the CAD/BIM group on project set-up expectations., • Adhere to the company standard project folder structure., • Check to see if drawings, folders, and issue sheets have been set-up correctly., • Properly place project files into the correct folders within the drive., • Notify Operations and Office Management that a project is confirmed for archiving. Communication Level 4 (Functional Mastery) • Listen and ask questions to fully understand the scope of the project. Clearly conveys the focus and intent of the project to the team. Puts instructions into a framework that team members working on the project can understand. Explains how the project fits in with the overall scheme of the company and its ultimate objective., • Through writing and speaking openly & honestly with appropriate body language and grammar, successfully inspires trust in both the stakeholders and the team members. Through honest feedback and clear direction, instills loyalty in the team, making it easier to deliver instructions, make changes and provide constructive criticism. Reports the team’s progress to the client with assurances that keep the client satisfied. Leadership Level 4 (Functional Mastery) • Enables, motivates, and inspires the team to meet deliverables within project constraints by demonstrating commitment, expertise, confidence, genuine concern, and ability to help everyone solve challenges and achieve goals. Finds the key factors that motivates each team member, settles disputes, and effectively encourages the team to maintain its focus. Conducts timely and recurring career development and performance management for team. Accountability Level 4 (Functional Mastery) Self-Direction & Sense of Urgency: • Is personally invested in the success of the team by feeling that personal success is directly related to the success of the team. Embraces management, mentorship, and the ownership of the team’s workload, and ensures workload is delegated effectively. Takes advantage of opportunities to advance the brand of the team, initiates project, takes ownership of mistakes and gives credit to the team for their success. Takes leading action in the face of obstacles, freshly identifying what must be done and leading the implementation of the solution. Sets challenging goals for the team and demonstrates a strong sense of urgency & persistence about accomplishing them. Establishes plans that break projects into their component parts, each with its own timeline. Seeks & gives performance feedback to others and addresses performance problems promptly. Flexibility & Resilience • Leads the team through ambiguous situations, teaches the team to reconsider strongly held ideas, and maintains teamwork efficiency. Ensures team members respond positively to a changing environment and enables them to come up with creative ideas. When the picture is unclear and much is unknown, remains calm and comfortable, accurately assessing risks and options, changing direction & reorienting quickly. Acts decisively at the right time. Results Driven • Sets the bar high for the team and raises team standards; sets challenging team goals and develops standards against which to measure behavior & performance of the group. Persists in the face of significant difficulties, takes risks, faces fears, and demonstrates a strong sense of urgency about achieving goals. PIaf9d728b53f3-25405-37896860

Job Description Position Summary The Lead Plumbing & Fire Protection Designer (or Engineer) is a senior member & manager of the project team, working under the direct supervision of the Trade Design Manager (or Senior Engineer) to lead and manage project teams & design initiatives. This includes supervising a team of Design professionals with a goal to complete high-quality trade-specific schematics & layouts based on solid design principles. The Lead Designer manages all design team project functions, including surveys, calculations, selections & layouts, performs all project phases and is called upon to play a lead role in effectively communicating with peers, supervisors, vendors, consultants, clients & stakeholders. This includes providing leadership support in the construction administration process with the ability to process and review shop drawings, perform field observations, and prepare respective reports. The Lead Designer is fully capable of assuming the Job Captain function, and directly managing the training, development & project execution of direct-report project team members. Qualifications • Minimum 6yrs experience working as a Designer, of which at least 2yrs were spent in a Senior Designer Role, as part of a professional engineering project team, under the direct or indirect supervision of a licensed professional engineer., • Minimum 2yrs experience leading engineering projects of various sizes and complexities., • 4-year Engineering degree., • Professional Engineering License preferred., • Great interpersonal skills., • Polished communication skills (both verbal & writing)., • Highly organized and composed under pressure., • Proven project management ability, with demonstrated experience managing direct reports to strict timelines with multiple projects to meet deadlines under high-pressure environment., • Advanced proficiency with Microsoft Office., • Working knowledge of AutoCAD & REVIT., • Possesses a keen eye for detail. Expectations Trade-Specific Competency – For Plumbing & Fire Protection Engineers Level 4 (Functional Mastery) • Can ably recognize even the most complex types of existing systems and apply solutions to the most complex engineering problems., • Can independently design complex plumbing & fire protection systems with inherent knowledge, minimal research & direction, and use of company standards & templates., • With minimal supervision, can develop intricate designs/layouts and selection of advanced equipment., • Advanced knowledge of codes and standards. Can ably research when required., • With minimal supervision, can generate specifications based on company standard templates., • Self-sufficient in producing existing conditions surveys and due diligence reports including cost estimates., • Educates L3 engineers. Core Competencies Project Management Level 4 (Functional Mastery) Project Management • Exhibits project process mastery with confidence and humility. Demonstrated ability to see the big picture and keep the team focused on key team & company goals, and on the client experience. Ensures effective collaboration between team members, understands the various personalities, and how they can best work together for the good of the whole. Habitually performs Project Manager responsibilities without assistance & with the highest degree of efficiency. Relationship Management • Fosters a collaborative culture, with demonstrated experience training & developing staff. Demonstrated ability to oversee team coordination with managers, clients and team members to set expectations, deliverables, and objectives. Delegates workload assignments effectively & inspires others. Problem Solving • Teaches the team to view problems as opportunities to grow & fosters a solution-based thinking culture, where the team brings ideas & solutions to the table. Enables the team to fill knowledge gaps through active & proactive research. Assesses team issues from different vantage points, thinks "outside the box", & formulates the most effective solution in addressing specific challenges. Takes a "prevent rather than intervene" approach by focusing on team quality and due diligence. Customer Satisfaction • Ensures that the team focuses on the client experience and keeps the customer perspective in mind. Teaches the team to have a "customer is always right" approach. Elicits feedback from direct reports and creates strategies to help the team serve customers more effectively. Job Captain • Demonstrated ability to perform consistently satisfactory Job Captain responsibilities. The Job Captain is counted on to: Take Ownership The Job Captain is responsible for taking ownership of the coordination of project deliverables and issuances with the project team. This means coordinating between the project team and other MGE groups on the timely and accurate set-up/issuance of project documentation. This means to: • Quarterback the project start-to-finish. Seeing the project through and making sure it goes out correctly., • Include the right stakeholders in your communication., • Coordinate with all departments and take ownership of the process throughout the entire project lifecycle. Apply Quality, & Ensure it The Job Captain serves as an important quality control point, by checking project documentation for completeness and accuracy prior to submitting for issuance. This means to: • Submit all completed checklists to the Project Manager., • Provide final clearance on project issuance., • Escalate concerns quickly and decisively., • Ensure checklists, issue sheets and other pertinent documentation are accurately completed before sending., • Make sure all pencils are down before submitting a set for issuance., • Own the quality control process. Make sure the right engineers have checked their design before submitting it to you for issuance., • Check the drawings for accuracy before they go out., • Ensure backgrounds and xrefs are up to date., • Coordinate the issuance of Project Manuals (Book Specifications) if applicable., • Coordinate and check the Issued Drawings List for every drawing issuance., • Double check to see if the backgrounds received from the architects are correct., • Ensure the proper drawings are compiled and issued., • Communicate the status of the issuance through completion., • Follow-up with the client to ensure the package was received. Ensure Project Documentation is Correct The Job Captain ensures that proper project documentation is thoroughly, correctly, and consistently followed. This includes (but is not limited to): • Correct drawing set-up and filing., • Correct folder structure set-up and ongoing maintenance., • Correct and timely issue sheets., • Correct post-project filing and archiving., • All changes are bubbled appropriately. If a drawing is being filed for the first time, there should be no bubbling., • Delta in the revisions must match the Delta in the title block., • All applicable DOB notes should be turned on for DOB filing. If a job is outside New York, any NY-related notes should be turned off., • The PAA sub-number is correct., • The initials of the team members are on the title blocks for all drawings. XX does not work here., • Include the correct DOB Now number., • Be clear with the CAD/BIM group on project set-up expectations., • Adhere to the company standard project folder structure., • Check to see if drawings, folders, and issue sheets have been set-up correctly., • Properly place project files into the correct folders within the drive., • Notify Operations and Office Management that a project is confirmed for archiving. Communication Level 4 (Functional Mastery) Listen and ask questions to fully understand the scope of the project. Clearly conveys the focus and intent of the project to the team. Puts instructions into a framework that team members working on the project can understand. Explains how the project fits in with the overall scheme of the company and its ultimate objective. Through writing and speaking openly & honestly with appropriate body language and grammar, successfully inspires trust in both the stakeholders and the team members. Through honest feedback and clear direction, instills loyalty in the team, making it easier to deliver instructions, make changes and provide constructive criticism. Reports the team’s progress to the client with assurances that keep the client satisfied. Leadership Level 4 (Functional Mastery) Enables, motivates, and inspires the team to meet deliverables within project constraints by demonstrating commitment, expertise, confidence, genuine concern, and ability to help everyone solve challenges and achieve goals. Finds the key factors that motivate each team member, settles disputes, and effectively encourages the team to maintain its focus. Conducts timely and recurring career development and performance management for team. Accountability Level 4 (Functional Mastery) Self-Direction & Sense of Urgency: • Is personally invested in the success of the team by feeling that personal success is directly related to the success of the team. Embraces management, mentorship, and the ownership of the team’s workload, and ensures workload is delegated effectively. Takes advantage of opportunities to advance the brand of the team, initiates project, takes ownership of mistakes and gives credit to the team for their success. Takes leading action in the face of obstacles, freshly identifying what must be done and leading the implementation of the solution. Sets challenging goals for the team and demonstrates a strong sense of urgency & persistence about accomplishing them. Establishes plans that break projects into their component parts, each with its own timeline. Seeks & gives performance feedback to others, and addresses performance problems promptly. Flexibility & Resilience • Leads the team through ambiguous situations, teaches the team to reconsider strongly held ideas, and maintains teamwork efficiency. Ensures team members respond positively to a changing environment and enables them to come up with creative ideas. When the picture is unclear and much is unknown, remains calm and comfortable, accurately assessing risks and options, changing direction & reorienting quickly. Acts decisively at the right time. Results Driven • Sets the bar high for the team and raises team standards; sets challenging team goals and develops standards against which to measure behavior & performance of the group. Persists in the face of significant difficulties, takes risks, faces fears, and demonstrates a strong sense of urgency about achieving goals. PIba0d4955e471-25405-37896981

Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n In this role, you will: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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)\n \n \n Overview: \n \n 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. \n \n Team Description: \n \n 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. \n \n In this role, you will: \n \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Staff AI Engineer\n \n \n\n \n Job Description\n \n\n\n \n \n \n \n \n \n \n \n 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. \n \n Team Description: \n \n 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. \n \n In this role, you will: \n \n \n • \n 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. \n \n \n \n • \n 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. \n \n \n \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n \n \n \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n \n \n \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n \n \n The Ideal Candidate: \n \n \n • \n 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. \n \n \n \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n \n \n \n • \n 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. \n \n \n \n • \n 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. \n \n \n \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n \n \n Basic Qualifications: \n \n • \n 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 \n • \n At least 8 years of experience programming with Python, Go, Scala, or Java \n \n \n Preferred Qualifications: \n \n • \n 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n \n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position \n \n \n \n \n \n \n \n \n\n \n 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. \n Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer\n \n New York, NY: $293,600 - $335,100 for Distinguished AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 (AI Foundations, VLM Customization)\n \n \n Overview: \n \n 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. \n \n Team Description: \n \n 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. \n \n In this role, you will: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n Overview: \n \n 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. \n \n Team Description: \n \n 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. \n \n In this role, you will: \n \n\n • \n 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. \n\n \n\n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n\n \n\n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n\n \n\n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n\n \n\n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n\n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. \n\n \n The Ideal Candidate: \n \n\n • \n 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. \n\n \n\n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n\n \n\n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. \n\n \n\n • \n 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. \n\n \n\n • \n 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. \n\n \n\n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n \n\n • \n 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 \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n 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 \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Mgr, AI Engineering\n \n McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering\n \n New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering\n \n San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm. KPMG is currently seeking a Tax Manager or Senior Manager to join our _ practice. • Conduct research and development (R&D) tax credit consulting and project management, • Manage R&D tax credit studies and related activities, • Develop and sustain excellent client relationships during delivery of R&D tax credit services, • Provide R&D tax credit quality assurance, engagement reviewer and exam support, • Perform engagement management activities including billing analysis, invoicing, and engagement setup, • Draft opinion letters, responses to IRS inquiries, IRS ruling requests and writing other technical memoranda Additional Responsibilities for Senior Manager: • Engage in an active role in new business development, including add-on business, • Assist other R&D Project Managers with the delivery of engagements as needed, including research and writing regarding technical issues, • Minimum five years of recent experience conducting and managing R&D tax credit consulting projects in a large accounting firm, corporation, or law firm, • Bachelor's degree from an accredited college/university, • Licensed CPA, JD/LLM or completion of an advanced degree or professional certification/designation including: MBA (Masters of Business Administration), MCM (Masters of Construction Management), PHDE (PhD of Economics), PHE (Doctor of Engineering), ME (Masters of Engineering), MSRE (Masters of Science-Real Estate), AIA (Member, Amer Inst of Architects), Enrolled Agent, LEED (Leadership, Energy & Environmental Design) Certification, PE (Professional Engineer), or SIX SGMA (Six Sigma) Certification, in addition to others on KPMG's approved credential listing; any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; should you like to see the complete list of currently approved designations/credentials for the hiring practice/service line, your recruiter can provide you with that list, • Solid verbal and written communications skills with the ability to evaluate and articulate complex information; proficient in the use of Microsoft Word, Excel and Access and use of the internet, • Experience managing multiple client engagements and client service teams, • Technical skills and experience with research and development deduction and credit Internal Revenue Code sections (including, but not limited to, sections 174 & 41), corresponding regulations and relevant judicial and administrative authority Additional Qualifications for Senior Manager: • Minimum eight years of experience in federal income taxes within a public accounting firm or corporation, • Experience mentoring and counseling staff level team members KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at _. Follow this link to obtain salary ranges by city outside of CA: _ KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The _ contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Verantos (_) is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use. The platform leverages data science and artificial intelligence, along with advanced data sources such as electronic health records (EHR), to generate RWE capable of supporting complex clinical studies. Some of the largest biopharma companies in the world are Verantos customers. We use a heterogeneous AWS-centric tech stack with data processing, AI, workflows, and analytics. Our teams are cross-functional and collaborative, bringing together engineering, product, design, QA, and clinical domain experts to deliver meaningful, real-world impact. We are building the Verantos Evidence Platform on AWS with Snowflake, GitHub Actions, Terraform, and a mix of containerized services. We need a Senior Platform Engineer who can take ownership of the platform's infrastructure, CI/CD, and developer experience. You'll be part of the Verantos Evidence Platform team and collaborate with DevOps teammates across the company. This is a small, lean team where infrastructure decisions have an outsized impact on everyone's productivity. The role is as much organizational as it is technical: communicating changes before they land, getting buy-in, and building systems the whole team can operate independently. This is a fully remote, US-based role. • Simplify and maintain the CI/CD pipelines for a multi-project monorepo, ensuring they are predictable, fast, and operable by the broader engineering team without specialized knowledge., • Plan and execute infrastructure changes incrementally, with clear rollout steps, validation strategies, and rollback plans that are communicated to the team before work begins., • Build and maintain operational documentation, runbooks, monitoring, and alerting that enable other engineers to independently troubleshoot and respond to production issues., • Collaborate with DevOps teammates across the organization to align on shared infrastructure standards including network design, permissions models, and deployment patterns., • Contribute directly to application code in Python and Typescript when platform concerns cross into the application layer, such as database performance, service configuration, or integration points., • Partner with QA to ensure infrastructure changes are properly tested and that the team has confidence in what's being shipped to each environment., • Actively use and champion AI tools to accelerate infrastructure and developer experience work., • 5+ years of experience in DevOps, platform engineering, or SRE, with meaningful time spent in environments where reliability and compliance matter., • Strong hands-on experience with AWS, Terraform, and container orchestration (ECS, EKS, or similar), including comfort with networking fundamentals like load balancing, TLS termination, and proxy configuration., • Solid Python skills and willingness to work across the stack when platform concerns extend into application code., • Has built and maintained CI/CD pipelines that other engineers actually trust, and has executed infrastructure changes incrementally rather than through high-risk big-bang rollouts., • Experience working in a small team where you had to balance speed, simplicity, and doing things right, rather than defaulting to enterprise-scale tooling., • Actively uses AI tools in daily work to accelerate delivery while maintaining high standards for security and code quality., • Communicates clearly and works effectively across engineering, QA, and compliance stakeholders., • Experience with healthcare data infrastructure or compliance frameworks such as HIPAA or HITRUST., • Familiarity with Snowflake administration and performance tuning in a platform that serves both transactional and analytical workloads., • Experience collaborating effectively across time zones and cultures in a fully remote environment. At Verantos, we are pioneering technologies that power advanced real-world evidence (RWE). Advanced RWE helps understand how patient characteristics and behaviors affect health outcomes – helping to predict the progression of a disease, a patient’s responses to a therapy, or the risk of adverse events. Come and join a team at the intersection of cutting-edge technology, complex data, and healthcare research. We offer: • Flexible work location to support employees in the new pandemic-shaped reality., • Medical, dental, vision benefits., • 401K plan with employer match., • Work-life balance., • Opportunity to work with healthcare technology visionaries. The salary range for this role is $180,000–$220,000, plus benefits.

REQUIREMENT: IT Application Support Services - occasional onsite collaboration in Santa Cruz Santa Cruz, California Need Overall 10+Years of experience3 References from the recent projects are must.Required Skills: • Designing, developing, and supporting integration processes to other applications, e.g., Central Square TrakIT, Eden (HR, Finance, Payroll, and Utility Billing), Cashiering Point of Sale, and Hylands OnBase Document Management, etc., • Ad Hoc reporting., • Application configuration to support business needs., • Application enhancements to support business operations or enhancements., • Data cleansing and migration support as needed., • Demonstrated experience in conducting work for government institutions of similar or larger size and scope. Preferred Skills: • Prior work supporting municipal systems (city-level or local government entities), • Familiarity with commercial off-the-shelf (COTS) applications, • Experience in handling multiple systems simultaneously (~80 applications), • Knowledge of project coordination or support delivery in a multi-departmental environment, • Experience working under the direction of Assistant IT Directors or City IT leaders, • Ability to collaborate with both technical teams and non-technical city staff, • Knowledge of regulatory/compliance practices in municipal systems (e.g., secure protocols, user privacy) Specific Skills: • T-SQL and SQL Server support, • Application integration (Eden, TrakIT, OnBase), • Crystal Reports and SSRS reporting, • Application configuration and enhancements, • Data migration and cleansing, • SFTP and Single Sign-On (SSO) familiarity, • Microsoft Teams and Office 365 collaboration, • Experience with BluePrism and TrackIT tools Certifications: • Microsoft Certified: Azure Fundamentals / SQL Server-related certifications (preferred), • ITIL Foundation or similar IT service management certification (preferred), • Certifications in relevant platforms/tools (e.g., Crystal Reports, SSRS, BluePrism), • No specific certifications are strictly required per RFP, but industry-standard credentials are valued If you are interested share your updated resume with contact number to _ This is a remote position. Compensation: $65.00 per hour Zirlen Technologies Inc, A Leading IT Services company, offering a wide array of solutions customized for a range of key verticals and horizontals. From strategy consulting right through to implementing IT solutions for customers, Zirlen addresses the entire IT space. As a diverse end-to-end IT solutions provider, Zirlen offers a range of expertise aimed at helping customers re-engineer and re-invent their businesses to compete successfully in an ever-changing marketplace. Zirlen is a global management consulting, technology services and outsourcing company. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Zirlen collaborates with clients to help them become high-performance businesses and governments.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud _! More about our team and company: • Fleetio overview video: _, • Our careers page: _ Fleetio is looking for a product-minded and team-oriented Senior Software Engineer who is committed to consistently delivering quality software to join our rapidly scaling Marketplace Engineering Team. Fleetio’s Marketplace is a comprehensive platform that facilitates our customers to easily find and purchase a wide range of products and services essential to their fleet operations. Our shop integrations allow our customers to efficiently manage external maintenance activities and get insight into service data. Our Fleetio Pay solution helps Fleet Managers to efficiently manage service work, and provide simple and hassle-free ways to make payments. We also help vendors keep shop details current and monitor received payments from Fleetio customer transactions all in one place. Learn more about how our shop integrations work_. In this role on the Marketplace Team you will be responsible for writing maintainable code while implementing new features with an emphasis on connecting customers to maintenance shops, facilitating service, approvals, transactions, billing, and data entry for fleets. • Watch our culture videos: _, • Engineering culture, interview process and videos:_, • Fleetio Go overview video: _, • More about the Fleetio platform:_, • API docs:_, • Test drive Fleetio to get an even better feel for what we're building:_ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. Our ideal candidate has a passion for and experience collaborating with others and solving business problems with good design, delightful UX, and scalable architecture. You are detail-oriented, proactive, and thrive in a fast-paced environment where you can make a significant impact. You have extensive experience planning, designing, and building marketplace solutions with cross-functional partners such as Product Managers, Designers, and Quality Engineers. Your ability to communicate effectively and collaborate with others is key to your success. This role is part of the Engineering department and you will report to the Web Engineering Manager. • You will take part in planning, designing, and implementing features to build out our Marketplace offering. Helping fleets and shops schedule, complete, and pay for service on the fleet's vehicles and equipment., • You will collaborate closely with Product Managers, Designers, and other Engineers to consistently deliver high-quality software., • You will engage in collaborative design and architecture of features., • You will deliver well-tested, maintainable, and performant code., • You will research, implement prototypes, and spikes as necessary to validate assumptions and technical feasibility., • You will possess a strong voice in the development and planning processes., • You will thoroughly review your peers’ code to ensure quality, consistency, and to share knowledge., • 7+ years experience as a software engineer, • 3+ years experience with Ruby on Rails, • 2+ years experience with ReactJS, Typescript, • Firm understanding of object-oriented programming and relational databases such as PostgreSQL, • Expertise with data modeling and optimizing query performance, • Previous experience with payment systems like Stripe, Brex, etc, • Solid experience solving challenging architectural problems with good design, • Experience with unit testing frameworks, • Excellent communication skills (particularly written), • Be sure to mention “coffee” in your application so we know you actually read this, • Expertise with consuming and integrating external APIs and/or webhooks, • Experience leading small teams/projects, • You know a thing or two about the Fleet management industry, • Previous experience building APIs for consumer/mobile app consumption, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-Remote Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

(Remote — North America, LATAM or Europe) _ (YC W23) lets developers build product integrations with AI. It enables applications to connect to the real world through integrations. More than 500 paying customers rely on Nango today, including Replit & Ramp. We are a YC-backed, mid-seven-figure ARR company with a team of 14 from AWS, GitHub, Okta, Snyk, Netlify, Uber, Samsara, Workato, and other top-tier dev tools. We are hiring a Technical Content Engineer to scale our content for engineers building product integrations. Write deeply technical content that educates developers on APIs, integrations, agents, and AI infrastructure. Build prototypes and write code to understand firsthand what you write about. Stay at the forefront of AI infrastructure and develop strong perspectives on where the industry is going. Shape Nango’s vision and technical narrative alongside the founders and engineering team. Make technical content a major driver of Nango’s awareness, adoption, and word of mouth. You’re a software engineer with a strong computer science foundation. You have experience with developer tools, APIs, infrastructure, or adjacent technologies. You can explain complex technical ideas clearly and precisely. Professional writing experience is a plus, not a requirement. You have the curiosity and technical depth to understand how things actually work. You closely follow AI, agents, and the emerging infrastructure around them. You have strong independent judgment: you can research a topic, find the interesting angle, and form your own point of view. This position is available full-time or as a freelancer.

mechanical engineeringtechnical document analysisproblem-solvingwritten and verbal communicationdata analysisattention to detailself-managementinterdisciplinary collaborationtechnical content creationdata quality assurancemicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We’re looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project’s build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications BS or BA in Computer Science, Engineering, or related field or equivalent experience 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices #DISNEYTECH The hiring range for this position in Seattle, WA and in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Lead AI Engineer (AI Foundations, VLM Customization)\n \n \n 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. \n \n Team Description: \n 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. \n \n In this role, you will: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 About Us: Vanderweil Engineers is one of the largest and most respected privately-held MEP engineering firms in the United States. Sustainability is at the core of what we do. Vanderweil is a founding signatory of both the AIA 2030 and the MEP 2040 Challenges. Over 300 of our projects — a combined total of nearly $24 billion in construction — have achieved certification under frameworks such as LEED®, WELL, Fitwel, SITES, and Green Globes. Recent projects include the largest solar photovoltaic array in New York City, multiple net-zero designs, a research facility designed to be the world’s most sustainable lab, and a zero-carbon steam-generating heat pump which will reduce the emissions of millions of square feet in Greater Boston. About This Opportunity: If you’re looking for an opportunity to grow your career with some of the best minds in the industry on world-class projects, we’re looking for you. We offer stable career growth via our expanding book of services and geographic footprint across a diversified project mix. Join us to do the best work of your career as a Senior Building Performance Engineer (Hybrid Role) in our growing Building Performance Group in Boston, MA, or in one of Vanderweil’s offices in New York, NY; Newark, NJ; Philadelphia, PA; Alexandria, VA; Atlanta, GA; or Miami, FL. As a Senior Building Performance Engineer, you will proactively collaborate with our project managers and engineers internally, as well as externally with our owner, design, and construction partners, to provide the analyses and insights that help clients solve complex challenges. Some of your responsibilities will include the following: • Propose holistic energy, water, and carbon reduction opportunities early in the design process, and back those ideas up with rigorous analysis and thoughtful data visualizations to clearly communicate complex concepts., • Evaluate architectural and MEP system design to optimize performance and track progress toward project goals., • Lead junior engineers[CS1] to create complex energy savings calculations and technical client-facing reports. Educate, delegate, and provide quality control for their analysis efforts., • Research and synthesize applicable energy codes & policies. Compare compliance paths to advise owners and design teams and minimize risks to projects., • Perform life-cycle cost analyses, solar photovoltaic feasibility analyses, and water reduction studies. Essential Skills & Requirements: • 7-15 years of building performance analysis or design engineering in a consulting environment., • Bachelor’s or master’s degree in mechanical engineering, energy systems, or architectural engineering., • Experience interfacing with internal and external clients. Additional skills considered a plus: • Experience with eQuest, IES, EnergyPlus, or similar, and the ability to generate spreadsheet energy calculations., • Holds a PE registration., • LEED AP BD+C, BEMP, CPHC, and/or CEM Credential, • Experience mentoring, training, or overseeing work of less experienced engineers, • Field experience including performing field surveys for energy audits, observation of construction progress, commissioning, and/or operating a facility., • HVAC design experience Our Flexible & Hybrid Work Culture: We know that work/life integration is important to our employees. Our hybrid work style (up to 2 days remote per week) allows team members to have flexibility while building their skills through in-person exposure to industry experts. We prioritize wellness with programs that support physical and behavioral health, and we’re proud to foster an equitable and inclusive workplace. Learn more about our culture at www.vanderweil.com. The total compensation that we expect to pay for this position is dependent on years of experience, licensure, education, geographic location, and project portfolio but expected to be in the $70,000 to $140,000 range. Vanderweil Engineers is an equal opportunity employer committed to diversity with a work environment free of discrimination and harassment.

Lead AI Engineer (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)\n \n \n Overview \n 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. \n \n Team Description: \n 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. \n \n In this role, you will: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. _ OVERVIEW We’re looking for a full stack Senior Product Engineer to lead the multi-platform engineering efforts for our AskCR chatbot and related AI-driven features across the Consumer Reports website, mobile app, and other digital surfaces. This role is critical in ensuring seamless integration, robust performance, and high-quality user experiences. Reporting to the Director, Web Development you will be part of the Experimental Engineering team where you will drive consistent, maintainable development practices, coordinate cross-team collaboration, and oversee the delivery of resilient software solutions. This is a remote position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As Senior Product Engineer, you will focus on Ask CR, our AI-powered advisor that answers consumer's questions based on CR’s trusted research and product data, including: • Leading the technical planning, architecture, and implementation efforts for AskCR’s multi-platform initiatives, ensuring consistency and maintainability., • Collaborating closely with product management, design, and engineering teams to align technical strategy with business and user needs., • Coordinating cross-team engineering efforts, facilitating clear communication, effective planning, and efficient release management., • Establishing and upholding best practices for code quality, continuous integration/continuous deployment (CI/CD), monitoring, and debugging across platforms., • Diagnosing and resolving complex production issues, providing timely and effective solutions., • Mentoring and guiding engineering team members, fostering technical growth and leadership capabilities. ABOUT YOU You’ll Be Highly Rated If: • You have the educational background. Bachelor's degree in Computer Science, Software Engineering, or related technical discipline., • You have the engineering experience. 5+ years of professional software engineering experience is required., • You bring a strong proficiency in web and mobile development frameworks (specifically React, React Native)., • You have a strong proficiency in building APIs with Python (e.g. FastAPI)., • You have proven experience in multi-platform software development and integration, with a track record of delivering high-quality production applications., • You have a demonstrated expertise in best practices for CI/CD, automated testing, observability, and debugging., • Your excellent communication and collaboration skills, allow you to lead complex projects across diverse teams. You'll Be One of Our Top Picks If: • You have prior experience working on consumer-focused AI applications or chatbots., • You are familiar with cloud infrastructure (AWS, Azure, or Google Cloud Platform) and container orchestration technologies., • You have knowledge of ethical AI practices, data privacy compliance, and secure coding principles. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation informed by location, as well as the candidate’s particular combination of knowledge, skills, competencies, and experience. It is expected that most qualified candidates will fall near the middle of the posted salary range. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $140K-$160K annually, • DMV/Massachusetts: $120K-$140K annually, • Colchester, CT and additional approved CR locations: $115K-$135K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

TXI is looking for Agile PMs, Designers, and Engineers eager to find purpose in their work by crafting meaningful digital products through continual experimentation, exploration, and pushing the boundaries of conventional norms. Building the right thing is often harder than building it right. More than 80% of digital innovations fail because they are not solving the real user need. We take a pragmatic approach to innovation by deploying integrated teams to uncover insights from users and turn them into compelling digital solutions. As a boutique strategy and product innovation firm, our capabilities include product discovery, delivery, and adoption. As a TXI consultant, you have an opportunity to shape and define the products that you build. You can influence how engagements run and collaborate with integrated teams to deliver products that matter. More importantly, you can use your passion for learning and continuous improvement to help our clients bring new concepts and products to market. Our business landscape evolves rapidly. While there might not be an open role on our site today, it doesn't mean there won't be one tomorrow. We understand that you might not return to our site later, so we're taking the initiative to open up this opportunity for you to express your interest. This ensures that you're considered for future roles! Don't hesitate to apply if you don't meet 100% of the qualifications below. If you’re someone who identifies as a motivated self-starter and loves to thrive in ambiguity, we want to hear from you! \n Here is what we (typically) expect from you • Possess experience as a full-stack engineer, designer (both UX and UI), or PM in Agile web or data-powered product development., • Ideally, have prior involvement in consulting or participation in discovery-driven custom product development teams., • Demonstrate professional and empathetic communication, engaging all stakeholders, including clients and team members, with a sense of curiosity., • Actively engage in soliciting and providing feedback to team members, offering assistance proactively, and ensuring alignment among all involved parties., • Embrace accountability, even in situations where initiative is not explicitly requested., • Work effectively within a collaborative, cross-functional team of developers, designers, and delivery managers., • Display a willingness to learn from individuals at all levels, regardless of their title or position., • Be open to occasional travel for client meetings., • While our team primarily operates remotely, we highly value opportunities for in-person collaboration and social connections. Hence, candidates based in Chicago, IL, or Denver, CO, where a significant portion of our team is located, are strongly preferred \n Who We Are We’re a curious and humble group of people who are intentional about personal growth and supporting each other’s careers. We’re always looking for new skills, frameworks, and approaches to deliver the most meaningful digital product experiences. And we’re constantly pushing ourselves to experiment, explore, and challenge assumptions. We bring that same passion for learning and growth to our clients, by digging into their organizations, reframing their problem statements, and spending time with their users. This ensures that we’re pushing our clients forward while developing and delivering valuable products that matter. _ (video) Some reasons why you might like working with us We have been recognized for both our internal employee experience and for delivering a trusted customer experience. At TXI, we are intentional about the way we work and how we support both our team and our clients. 1. We focus on Product Innovation by helping to envision initial new product concepts for our clients. We are core contributors to shaping the work that we do and the problems we're working to solve. In addition to that ideation stage, we get to help them bring these new concepts to market. We help both to build the right thing (design thinking and product discovery) and build the thing right (agile mindset and iterative approach)., 2. We care about DEIB (diversity, equity, inclusion, and belonging). To deliver the best solutions, we need as many bright and diverse minds in the room as possible, and we need to be able to learn from them once they’re there. That’s why we’re working to create an environment that’s inclusive for everyone. Learn more about our DEIB learnings, roadmap, and history: https://txidigital.com/deib, 3. We work in a variety of industries and encourage our team members to explore new domains, solve different kinds of problems, and adopt new technologies. There is no getting bored in our portfolio. You’ll work across life science, healthcare, EdTech, manufacturing, and nonprofits–just to name a few–and build web, mobile, and IoT solutions., 4. We work in integrated teams (and occasionally we will work as staff augmentation if there's a good rationale for it). At TXI, we seek to bring all of the good ideas to the table so you learn from the talented teammates you regularly pair with. Product, design, and engineering regularly collaborate., 5. We are intentional about supporting each individual's growth. "Challenge and support each other" is a core value of the company and we take that mission seriously. That's why every employee has a personal learning & development budget and a bi-weekly conversation with their manager about their progress–as well as why we created career grids to equitably promote each person's path at TXI., 6. We believe that wellness and a sustainable pace deliver the best outcomes. We commit to being dedicated partners to our clients for a sustainable 35 hours per week. We don't require regular travel or client on-site time, though there will be occasional in-person client meetings to move work forward. Our team members enjoy flexible schedules with a remote-first working environment and discretionary time off because we respect that everyone has a life outside of work., 7. We value transparency and open discussion. You will have a front-line view of the company's performance, risks and issues, finances, and budgets. With unique tools and facilitation techniques, we also regularly connect and discuss topics as a company to guide our path forward., 8. We build products that matter. We advance the causes and goals of our partners and consistently deliver outcomes for them. See some examples below. What We Make For over two decades, we've partnered with clients across industries to research, design, and develop award-winning custom web and mobile applications that make a meaningful impact. These impacts include: <> Transforming a data logger company to a global leader in tech-based environmental monitoring, driving the US industrial sector into Industry 4.0. <> Empowering healthcare providers with powerful digital products to enhance the quality of patient care, streamline administrative tasks, and improve overall healthcare outcomes <> Driving accountability and motivation for patients recovering from spinal surgery through integrated mobile app and wearable device on the patient’s lower back <> Improving prediction of patient enrollment in global clinical trials for life-saving drugs through the integration of advanced analytics and digital innovation <> Designing a digital experience to support LGBTQ+ 14-17-year-old youths who are facing societal and personal challenges prior to coming out, driven by evidence-based treatment and therapy plans But the work is just part of what makes TXI a rewarding place to be. We support one another’s interests—whether volunteering, organizing meetups, speaking at industry events, or learning new techniques and technologies. If there's something you're passionate about, we want you to pursue it so you can teach it to the rest of us. Our company Brunch & Learns, Sticky Note Game, and regular practice meetings are just some of the ways we create space for sharing, learning, and professional development. What We Offer We believe in equitable pay. In addition to base compensation, we offer a bi-annual bonus based on company performance as well as the following benefits, which are intended to take care of you (and the people you care about): • Generous paid time off, • Quality health insurance and medical travel benefit, • Paid parental leave policy (equal for all TXI parents), • 401k plan, including employer matching, • The option to work fully remotely with minimal client or onsite client work, • Company retreats and Quarterly days, both of which are a chance to connect in person and outside of the office, • Benefits for continuing education, donation matching, home office improvements, and renewable energy switching, • Employee Stock Ownership Program: TXI is 100% employee-owned through an ESOP, which grants shares of company stock to all employees as a retirement benefit Location While we do have a remote-first environment at TXI (with distributed team members in the US, Canada, and Europe who work from home), we have a strong preference for candidates who are located in or close to Chicago, IL (where most of our employees are based) as we encourage in-person collaboration and social connection. We communicate and collaborate effectively in a remote environment using tools like Miro, Notion, Slack, and Zoom. We also prioritize virtual bonding and emphasize inclusivity, autonomy, and trust while cultivating a safe and welcoming environment that is conducive to supporting a positive employee experience. While we encourage asynchronous communication, we often work in pairs or in collaboration sessions. Therefore, it is important to have some core hours of overlap with our clients and your fellow team members. Please also note that our consultants may have to travel on occasion to meet with clients. Regardless of where you are living and working, all TXIers have multiple opportunities throughout the year to meet and hang out in person to continue building those connections. We take equality seriously TXI is proud to be an equal opportunity workplace and is committed to equal opportunity employment without regard to race, religion, color, gender (including gender identity, change of sex, and transgender status), sexual orientation, age, disability, ancestry, national origin, military or veteran status, marital status, genetic information or any other characteristic protected by applicable law.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Sr. Lead AI Engineer (AI Foundations)\n \n \n Overview: \n \n \n 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. \n \n \n \n Team Description: \n \n \n \n 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. \n \n \n \n In this role, you will: \n \n \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n \n The Ideal Candidate: \n \n \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n 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. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n \n \n Basic Qualifications: \n \n \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n Plano, TX: $209,000 - $238,500 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering—collaborating closely with Research Scientists, Data Scientists, and ML Platform Engineers to design tools and systems that accelerate model development to ultimately improve predicti

We are looking for a skilled Software Engineer to join us. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

They are hiring a Research Crawling Engineer (Full remote - USA/EU 6 hour overlap with EST). As a Research Crawling Engineer, you will design and operate large -scale web data acquisition systems for research and model development.

We are looking for a skilled Software Engineer to join us. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

Fluency in Python; strong data-pipeline and eval-harness engineering (e. The AI Engineering team at Reddit is building our own Reddit-native foundational Large Language Models (LLMs). You'll join a team of distinguished engineers and researchers building the "engine room" of Reddit's AI future — t

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You’ll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Technical skills. Swift, SwiftUI Technical Requirements: • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • Experience with Git and understanding of different Git strategies What We offer: • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world, • Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out and connect with us on and _. Travel to Office expectationsFor Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty.This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities. To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America. What your day-to-day will look like:-Lead and guide the design and implementation of scalable distributed systems based on Java microservices-Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS-Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset-Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies-Drive adoption of best practices in data governance, observability, and performance tuning for data workloads-Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment-Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response-Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work What qualifications we’re looking for:-Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming)-Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor-Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines-Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads-Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)-Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools-Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments-Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)-Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.$183,000 - $203,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $183,000-$203,000 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact _ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Hindi Document ReviewerContact Review - Washington, DCLocation: RemoteStart Date: Negotiable EXPERIENCE & QUALIFICATIONS:Fluency in Hindi Familiarity with document review workflows Examples: Privilege/Responsiveness Review, Redactions, Conceptual Searching, First and Second Review, etc.Experience with electronic document review technology Examples: Relativity, Concordance, ViewPoint, etc.Active bar admission in at least 1 U.S. Jurisdiction and status in good standingTHE FOLLOWING SKILLS ARE PREFERRED BUT NOT REQUIRED:Experience as a member of a document review teamFamiliarity with Relativity 9.0 or higher version2+ years of legal support experienceHOURS & LOCATIONLocation (including opportunity for remote work) is established on a project-by-project basisHours (including the opportunity to work outside standard business hours) are established on a project-by-project basis About Contact:Contact Review prides itself on finding high-quality, high-accountability, barred attorneys specifically tailored to the needs of our project. We seek attorneys to assist with document review, privilege review, expert testimony, legal research, and foreign language translation. Unlike other eDiscovery vendors, Contact fosters a culture where every project manager, programmer, engineer, reviewer, and analyst sees themselves as an extension of the projects' team. Here at Contact, we look for ways to improve efficiency, streamline workflows, and put our clients in the best possible position to weather the next storm. For more information about Contact Review please visit: _ #CJ$50 - $70 an hourWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking an experienced Senior Software Engineer to design, develop, and optimize middleware for storage applications on CN platforms. This role focuses on improving performance, scalability, and reliability for customer storage environments and enabling storage software to run effectively over Cornelis Networks solutions. The ideal candidate has strong experience in C/C++ on Linux, performance-focused systems software, and storage technologies. Key Responsibilities • Own the design and development of middleware for storage applications on CN platforms, with a focus on performance, scalability, and production readiness., • Work with customer-relevant storage technologies (Lustre, WEKA, BeeGFS, DAOS, etc.) to improve integration, resolve performance issues, and enable strong end-to-end behavior in distributed environments., • Analyze storage workloads, reproduce issues, develop benchmarks, and deliver fixes or enhancements based on real customer use cases and measured system behavior., • Collaborate across kernel/driver, firmware, fabric management and performance teams to support product development, ecosystem enablement, and advanced customer escalations., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Contribute upstream open-source storage software projects where appropriate., • Operate as a self-motivated "owner," taking full responsibility for features from initial ideation through to remote deployment and maintenance., • Execute with precision in a fast-paced culture, balancing the need for rapid shipping with the long-term stability required for networking & storage infrastructure Minimum Qualifications • Experience in high-performance systems programming in C/C++ on Linux., • Experience developing, debugging, or optimizing storage middleware or related high-performance software., • Familiarity with storage technologies such as Lustre, WEKA, BeeGFS, DAOS, or similar distributed storage platforms., • Experience analyzing system stability and performance, identifying bottlenecks, and delivering production-quality fixes and improvements., • Strong collaboration skills and the ability to work across software, hardware, and customer-facing engineering teams. Preferred Qualifications • Experience with distributed storage environments at cluster scale., • Experience contributing to open-source software or working in upstream-facing engineering environments., • Familiarity with performance testing, benchmarking, and tracing tools., • Experience supporting customer deployments or handling complex escalations., • AI-First Engineering: Demonstrate a "proven AI-first" mindset by integrating advanced AI coding assistants and LLMs into the daily software development lifecycle to 10x output., • Technological Passion, Stay at the bleeding edge of AI research, proactively identifying opportunities to apply new LLM capabilities to networking hardware and software stacks. Location: This is a remote position for employees residing in the United States. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Spanish Document Reviewer Contact Review - Washington, DC Location: Remote Start Date: Negotiable EXPERIENCE & QUALIFICATIONS: Fluency in Spanish Familiarity with document review workflows Examples: Privilege/Responsiveness Review, Redactions, Conceptual Searching, First and Second Review, etc. Experience with electronic document review technology Examples: Relativity, Concordance, ViewPoint, etc. Active bar admission in at least 1 U.S. Jurisdiction and status in good standing THE FOLLOWING SKILLS ARE PREFERRED BUT NOT REQUIRED: Experience as a member of a document review team Familiarity with Relativity 9.0 or higher version 2+ years of legal support experience HOURS & LOCATION Location (including opportunity for remote work) is established on a project-by-project basis Hours (including the opportunity to work outside standard business hours) are established on a project-by-project basis About Contact: Contact Review prides itself on finding high-quality, high-accountability, barred attorneys specifically tailored to the needs of our project. We seek attorneys to assist with document review, privilege review, expert testimony, legal research, and foreign language translation. Unlike other eDiscovery vendors, Contact fosters a culture where every project manager, programmer, engineer, reviewer, and analyst sees themselves as an extension of the projects' team. Here at Contact, we look for ways to improve efficiency, streamline workflows, and put our clients in the best possible position to weather the next storm. For more information about Contact Review please visit: _ \n \n$27 - $27 an hour\n

TL;DR We're hiring a Leader for our AI / ML / Data Science team (US, California Bay Area or Houston preferred) to build and ship production-grade ML for industrial time-series and multimodal data. You'll spend most of your time hands-on (about 70%) delivering end-to-end solutions with customers, and the rest leading and scaling the data science team (about 30%). Position reports to the CTO and will have two direct reports. The Role We're hiring a Leader for our Data Science (DS) team to deliver production-grade ML for industrial systems using time-series and multimodal data (sensor/SCADA/historian, events, maintenance logs, and images/video where relevant). This is a hands-on role where you'll spend most of your time building and shipping (roughly 70% IC), while also leading and growing the team (roughly 30% people leadership). You'll work closely with customers and domain SMEs, ship models to production,and evolve our concept from “models” to an autonomous decisioning system: forecasting → detection/diagnosis → optimization → closed-loop actions (with safety + governance). A key part of the role is advancing our unique IP in closed-loop autonomous operations. What You’ll Do • Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration., • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support., • Build scalable foundations for baselines, drift detection, model observability, and incident response., • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning)., • Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns., • Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems)., • Build and deploy AI / ML solutions / models in production.Own deployment, monitoring, performance validation, and iteration of models in production, • Identify, document, and progress patentable innovations tied to closed-loop autonomy and production deployment. Qualifications • 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management)., • Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)]., • Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability)., • Strong Python and engineering fundamentals (clean code, testing, production patterns)., • Strong communication, comfortable working directly with customers and cross-functional teams. Bonus Points • Offline/safe RL, constrained optimization, and/or simulators/digital twins., • Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion., • Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints., • Closed-loop or human-in-the-loop decision systems with governance and guardrails., • Experience contributing to IP strategy, invention disclosures, and patent filings. Out of scope • Owning core product UI/UX design or front-end development., • Acting as the sole data engineer for ingestion/ETL across all customers (you'll partner closely with Engineering/Data Engineering where applicable)., • Running IT/OT infrastructure, sensor hardware selection, or plant networking., • Doing research with no production path, success is measured in deployed outcomes and customer impact., • Being a full-time program manager, you will lead execution, but Delivery/CS/PM functions help run the overall program cadence. What success looks like (first 6–12 months) • Customer impact: Delivered measurable improvements tied to customer KPIs (reduced unplanned downtime, improved yield, increased energy efficiency, lower maintenance cost)., • Product impact: Delivered repeatable, documented DS approach, reusable feature/representation layers, evaluation harnesses, and monitoring dashboards., • Model quality: Improved anomaly precision/recall while reducing false positives, clear reduction in alert fatigue and better operator trust., • Time-to-production: Faster iteration cycles from prototype to deployed, monitored models, predictable delivery and fewer "one-off" solutions., • Production reliability: Strong monitoring, drift detection, and incident response practices in place, with clear ownership and runbooks., • Decisioning roadmap: A concrete, milestone-based plan for unsupervised/self-supervised and RL decisioning (simulation readiness, offline evaluation, gated rollout, safety/governance)., • Team health: A high-performing DS team with clear standards, strong mentorship, and a hiring pipeline to scale responsibly. About Kelvin Kelvin.ai is paving a new path toward the future of industrial control applications. Our next-generation autonomous operations platform delivered as SaaS codifies the best engineering knowledge with the power of artificial intelligence. By combining human intelligence and machine learning, Kelvin delivers results across four pillars of customer value: Production Efficiency, Operational Efficiency and People Efficiency. Equal Opportunity Employer Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

MANAGER, APPLICATION DEVELOPMENT & SUPPORT Job Code: MGRADS Reports To: Director, Application Development & Support Base Location: AZ or CO Work Status: Virtual Office Starting Monthly Range: $9,584 Hiring Range (Monthly Pay): $9,584 - $10,417 Full-time / Part-time: Full-time Exempt / Non-Exempt: Exempt Risk Designation: Extremely High Summary: The Manager of Application Development & Support will lead a Product Development Team to plan, build, test, transition, and support developed solutions for the Health Information Exchange. This role will drive the successful delivery and maintenance of products and services related to the Contexture Health Information Exchange and external clients through all the defined phases of the software development life cycle. Ensuring efficient and effective tier 3 & 4 support of developed solutions is also a primary responsibility. The Manager of Application Development & Support will report to the Director of Application Development & Support and interact heavily with other Contexture teams and clients. This role focuses on the management of Senior Software Engineers, Software Engineers, Senior Developers, Developers, Junior Developers and others as needed. This is a key strategic role at Contexture, and the candidate must have the talent and vision to successfully lead a team through an ever-changing and challenging space. This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Duties and Responsibilities include the following: • Manage a team of developers in a primarily .NET environment., • Maintain stable working conditions and relationships within the team., • Hold individuals accountable for meeting and maintaining satisfactory performance results., • Establish and maintain Secure Software Development and Support practices with the team, peers, and leadership., • Identify opportunities and propose process improvements aimed at optimizing all aspects of team and individual activities and interactions., • Coordinate with internal and external teams to ensure alignment across all products and services on the Contexture roadmap., • Oversee Engineer and Developer assignment to sprint teams, ensuring each project is appropriately staffed and managed to meet project timelines and deliverables., • Collaborate with other Development Managers to oversee project assignments to sprint teams, ensuring workloads remain feasible and manageable., • Triage Tier 3 and Tier 4 support requests and drive their resolution., • Serve as the accountable position for any assigned applications for ongoing support and oversight., • Mentor team with development activities to meet goals and commitments, career development, hiring, procedures and staffing recommendations., • Communicate with and support the Director of Application Development & Support with any initiatives, offering suggestions, concerns, process improvement proposals, etc. for review, alignment, and formalization with the larger business., • Own development and transition planning activities within the team to ensure solution and documentation handoffs are completed and concise., • Participate in and manage vendor engagement activities to meet Contexture vision and product roadmaps as well as any necessary higher tier support of delivered solutions., • Exercise initiative in developing operational goals, personal goals, and leadership development programs for team members., • Effectively communicate and/or make presentations to senior level management within Contexture and other key external stakeholders and/or participants. Provide Program level reporting internally and externally related to Contexture Product Development initiatives., • Drive development outcomes and own continual service improvement as it relates to product, • Collaborate with peer managers to identify and overcome barriers or complications to workflows and procedures within, and between, teams., • Follow all security and compliance requirements., • As applicable, after hours may be necessary to support after hours deployments, changes, or major incident response., • Performs other related duties as assigned. Skills • Working knowledge of all stages of the Software Development Lifecycle., • Excellent interpersonal skills, including conflict resolution., • Excellent written and verbal communication skills., • Experience in process improvement utilizing strategies such as Agile, LEAN, Six Sigma, or others., • Working experience with Agile development methods and tools, such as, • Experience in vendor negotiation and contract management preferred., • Excellent troubleshooting skills., • Excellent research and analysis skills., • Ability to multi-task in changing environment., • Healthcare experience preferred., • Preferred Technical Skills and Experience:, • Development experience using object-oriented languages such as C#, Java, JavaScript, VB, Python, • Database experience with NoSQL (MongoDB preferred) and MSSQL, • Working knowledge of version control using Git and GitHub, • Experience with implementation of OAuth2 and other API security protocols, • Implementation experience with REST API, • Windows Presentation Foundation, • Experience working in both Windows and Linux based environments. Education/Experience • Minimum of 5 years of experience in Information Technology and Software Development., • 3+ years of technical leadership experience preferred., • 3+ years of direct management experience preferred., • Bachelor’s Degree with a concentration in Information Technology, Computer Science, Computer Engineering, or another related field required; equivalent directly related work experience may be considered in lieu of a degree. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate. The position may require occasional availability for after-hours work, outside of regularly scheduled hours. The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel. This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations. Physical Demands The physical demands described here are representative of those necessary to perform the essential functions of the role: • Frequent communication and information exchange., • Regular movement within the office to access equipment and materials., • Ability to remain stationary for extended periods (approximately 50% of the time)., • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer)., • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job. Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department. The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation. #internalonly #LI-DNI

Staff Software Engineer — Computer Vision Platform. We’re specifically looking for engineers who have built and operated computer vision or ML systems in production at scale (not just research or prototyping). DeepWalk’s computer vision platform for automated sidewalk inspection.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean. We're hiring our first GTM Engineer for SIMBA. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford,

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out and connect with us on and _. Travel to Office expectationsFor Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team SummaryThis team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impactAI products. Job SummaryThe AI Engineer – Autonomous Agent will work closely with the Product and Engineering teams to design and implement agent-based solutions that align with product goals. The AI Engineer – Autonomous Agent will also build new agent data types and pipelines and enable frameworks and workflows for agent reasoning, function calling, and action coordination. Key Responsibilities- Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions.- Design and build new agent data types, and pipelines that enable agents frameworks, and workflows to coordinate reasoning, function calling, actions- Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches.- Implement comprehensive security mechanisms for autonomous agents, including authentication, role-based access control, audit logging, and compliance monitoring- Integrate agents securely with existing systems, APIs, and data sources with secure communication protocols Qualifications & Skills- Expert level in Python, frameworks, and functional programming principles- Experience designing and implementing LLM agent workflows, and familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen. Preferred- Master’s degree or higher in Artificial Intelligence.- Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. #LI-AV1#LI-remote $179,000 - $199,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $179,000-199,000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact _ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Storage team at Planet builds and expands the core object and metadata storage platform that underpins the company's data infrastructure. The platform provides a horizontally scalable architecture that lets teams across the organization focus on what they do best while Storage handles data lifecycle, indexing, search, and all day-2 operations of managing a datastore at scale. Planet's constellation captures petabytes of imagery that powers everything from climate monitoring to disaster response and precision agriculture — and the Storage team makes sure that data is reliably stored, discoverable, and accessible. We're looking for a Senior Software Engineer to help evolve this platform. You'll work across the stack — from object storage and metadata indexing to event notification and disaster recovery — on systems that operate at massive scale. The ideal candidate works independently, takes ownership of technical direction, has experience building large-scale backend systems, and strengthens the team through engineering judgment and collaboration. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Build and maintain systems that provide efficient access to new and growing data sets, • Extend and improve services for internal data search and image processing, • Operate and tune Elasticsearch indexing for core data sets, • Full service ownership by measuring performance, creating alerts, being on call, and responding to incidents and performance anomalies, • Shape technical approach and system design for the team's high-impact projects, • Help engineers on the team grow through code reviews, pairing, and design discussions, • Contribute to the technical roadmap and help shape the architectural direction of the team's systems, • Participate in design reviews and help drive alignment on technical decisions What You Bring: • 10+ years of software engineering experience of which:, • 6+ years of Go development experience building production backend services, • 6+ years of Python development experience building customer-facing APIs, • Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering workflow, • Experience monitoring and operating highly scalable cloud-native software, • Experience with relational datastores (PostgreSQL or MySQL) and non-relational datastores (e.g. BigTable, Elasticsearch) and an understanding of when to use each, • Experience building, releasing, and supporting highly available, consistently performant services, • Excellent communication skills and an ability to work well in a remote setting, • Experience improving codebases, documentation, and team practices through regular contributions beyond feature work, • Experience driving architectural decisions and guiding technical trade-offs across a team, • Experience supporting the growth of engineers around you through collaboration and knowledge sharing, • Ability to lead system design conversations for distributed backend services What Makes You Stand Out: • Experience maintaining infrastructure with Kubernetes and Terraform, • Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP, • Experience working with geospatial data before, even tangentially Application Deadline: September 17, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-REMOTE New York City + California Salary Range $172,200 - $215,200 USD San Francisco Salary Range $182,900 - $2,286,000 USD US National Salary Range $160,600 - $200,800 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

is an award-winning social enterprise and a certified B-corp and Benefit Corporation. We build software solutions and provide technology consulting services to improve the quality of essential services for underserved populations. Our open-source technology platform, , is the world’s most widely-used and _ mobile data collection platform for frontline workers. Our choice to be a certified B-Corp and to legally incorporate as a Benefit Corporation sends a clear signal to our partners, our team members, and our communities that we not only believe but also take action in using business as a force for good. This approach combines our passion and commitment to tackle complex health and social inequities and work towards a brighter future for all. Dimagi is looking for a Data Engineer II to join our US Solutions Division. This position will be affiliated with our Cambridge, MA office but is open to remote employment within the United States. This is a 12-month fixed-term position with the possibility of renewal based on business requirements and mutual interest. The Data Engineer II will be part of Dimagi’s US Solutions Division Data & Analytics team, a group of engineers and data specialists responsible for building, maintaining, and evolving Dimagi’s Data Platform in support of current and future project work. The primary technologies used by the current data platform are Snowflake, Tableau, and various AWS cloud tools. In this role, you will contribute hands-on to the design, implementation, and operation of data pipelines, warehouse transformations, data visualizations, and supporting infrastructure, while working closely with technical leadership to ensure platform reliability, scalability, and alignment with business needs. The data systems you help build and maintain will directly support public health and human services programs, enabling frontline teams and government partners to deliver care and services more effectively. This position is well suited for someone who enjoys hands-on technical work in a small, collaborative environment. As a member of a lean team, you will be expected to work across functional areas, adapt quickly to new problem spaces, and contribute meaningfully to data systems that support real-world service delivery and decision-making. This role assumes comfort using AI-assisted tools to support analysis, documentation, troubleshooting, and learning in a complex technical environment. Responsibilities • Contribute to the technical integrity and evolution of the Data Platform tech stack, working closely with other Data Engineers, the Director of Technology, and the USS Tech Lead., • Design and implement core features and enhancements within the Data Platform, including contributing to technical specifications, conducting targeted technical research, and translating requirements into production-ready solutions., • Responsible for executing and maintaining DevOps workflows supporting the Data Platform, including performance monitoring, platform upgrades, deployment frameworks, and operational improvements, with guidance and mentorship from more senior Data Engineers as needed., • Use AI-assisted tools thoughtfully to accelerate development, debugging, documentation, and operational analysis, while understanding and validating outputs to ensure correctness, reliability, and security., • Build and maintain robust data extraction, loading, and transformation processes for both Dimagi managed (i.e. CommCare) and external data sources, enabling efficient, reliable data pipelines and their long-term development and operation using both SQL and Python scripting., • Design and develop data warehouse transformations, using SQL-based approaches and supplementary tools such as dbt., • Collaborate with internal teams and external partners on the design and implementation of enterprise data architectures based on industry standards and partner specific analytics needs., • Conduct ad hoc analyses and support the development of business intelligence outputs, including dashboards and visualizations using Tableau and other tools. The ideal candidate will have some or all of the following experience: • 2–5 years of experience in data engineering or a similar technical role, with a proven track record of designing and evolving scalable data systems., • Experience building maintainable, long-term technical solutions using software development best practices (version control, testing, and iterative development)., • Hands-on expertise in building and managing production-grade pipelines using ETL/ELT tools (e.g., dbt, Airflow, Prefect, Fivetran, or Talend)., • Strong proficiency with cloud-based data platforms (AWS, Snowflake, etc.) and a diverse range of data ingestion, processing, and storage technologies., • Expert-level SQL for complex data engineering and analysis, paired with proficiency in Python and associated data-oriented toolkits., • A deep understanding of dimensional modeling concepts ((e.g. OLAP cubes, star schemas, kimball architecture vs. alternatives like inmon), • Proven ability to partner with technical stakeholders to clarify requirements and deliver effective, end-to-end data solutions., • Proficiency in using AI-assisted tools for code generation, debugging, and optimization, with the ability to rapidly adapt to new schemas and tools in a fast-paced environment., • Comfortable working "in the trenches" of production systems to test, iterate, and optimize operational workflows., • Eligible to work in the United States Bonus Experience • Experience in enterprise data architecture, service-oriented frameworks, data integration and harmonization, data strategy and governance, high-performing data lakes, data operations and delivery and data ingestion frameworks supporting batch/real-time, • Experience writing and maintaining production ready code in a high level programming language (Python, Java, C++ etc.), • Experience with data analysis software (Jupyter Notebooks, R, etc.) and data visualization tools (Tableau, Power BI, Superset, etc.)., • Healthcare experience: either in healthcare data or public health data collection methodologies and workflows, • Experience and comfort working independently with partners for requirements gathering and solution development in an agile software development environment, using JIRA and Asana to manage tasks between technical and client-facing teams We aim to make a difference, not just as a company but also as an employer! We are transparent about salaries at all levels of the organization and have a standard, global pay scale for all positions. Our salaries are cost of living adjusted and non-negotiable. The estimated salary range for this position is 82,810 USD - 130,319 USD annually. Your final salary within the range will be dependent on where you are geographically based and might fall outside of this estimated range. However, the benefits we offer are geared towards having a strong impact on our staff’s well-being. A few of our key benefits are outlined below: • 100% employer-sponsored medical insurance paired with a generous Health Reimbursement Account (HRA) fund, • Access to voluntary dental and vision insurance plans, • A 401K plan with up to a 4% employer match, • Employee stock option plan, • 30 days paid time off inclusive of holidays, • Unlimited sick time and excellent parental leave policy, • Access to a flex-time policy that allows employees to work based on a flexible work schedule, • Access to an Employee Assistance Program (EAP) through ComPsych Dimagi is an Equal Opportunity Employer. We celebrate and support diversity and are committed to providing a work environment that is inclusive and free of discrimination and harassment. All employment decisions are based on individual qualifications without regard to race, color, religion, age, sex, sexual orientation, ethnicity, gender identity and expression, national origin, family or parental status, veteran or disability status.

What We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program. Position Description: We are looking for a Senior Project Manager to join our Water department to improve infrastructure in our Atlanta office. Candidates must have a bachelor's degree in civil and/or environmental engineering, a master's degree is preferred. Candidates must also have 12 or more years of water design experience and project management experience. A Professional Engineer registration in Georgia is required. Excellent writing, organization and communication skills are essential. Candidates must be self-motivated and able to work well with others. A flexible hybrid-remote work schedule available after 90 days of employment. \n Typical responsibilities include: • Provide project management, technical planning, design and construction support on various water and wastewater treatment and collection system projects including pump station, CSO and other water resource projects., • Prepare engineering calculations and supporting analysis of alternatives, • Prepare and evaluate wet weather control alternatives, • Develop and complete applications, permits, engineering reports and specifications, • Prepare and review engineer estimates, • Prepare design cost estimates, • Conduct research and development for projects, • Monitor task budget and progress, • Prepare project status and other reports, • Communicate project details with other design engineers, • Conduct project cost reviews, • Promote sales, • Prepare and review scope, budget and schedule for project tasks, • Assist with proposals, marketing, project reports and technical presentations, • Conduct on-site inspections as needed, • Attend and/or conduct client and project meetings, • Attend various meetings including pre-design, plan review, pre-construction, professional organization, staff, etc., • Attend seminars and/or training classes, • Maintain excellent client relations, • Maintain a safe working environment Education: • Bachelor's Degree in Civil or Environmental Engineering required Skills/Experience: • 12+ years of related experience required, • Professional Engineer registration in Georgia is required \n About Wade Trim: Wade Trim is committed to maximizing the value of infrastructure investments. We’ve been solving complex engineering challenges for nearly a century. We customize our work approach to fit each project using a collaborative, friendly style to deliver solutions our clients can stand behind. Our supportive culture recognizes and strives to fulfill collective client, company, and individual needs. Mentoring and building skills of Wade Trim staff is a priority. Frequent interaction among staff is encouraged, company leadership is easily accessible, and opportunities are provided for staff to help shape the firm’s future through strategic planning. Work/life balance is supported through a flexible, hybrid work schedule that brings team members together in the office at least two days a week and connects them virtually when working from home. To solve our clients’ toughest challenges, we’ve devoted ourselves to delivering innovative solutions. Our Office of Applied Technology (OAT) is dedicated to seeking new technologies or ways to apply existing technologies to enhance value to our clients and positively impact communities. All staff are encouraged to share ideas and suggestions for innovative technologies or processes to adopt. This open-minded approach enables us to advance technology, foster innovation, and stay ahead of our clients’ needs. Wade Trim’s success is shared by the employees that make it happen. Since our beginning, our firm has been 100% employee owned. This cultivates an ownership mindset that benefits our work approach, collaborative culture, and ability to deliver client solutions. We believe employee ownership drives the sustainability and growth of our firm and provides all our employees with opportunities for financial success. If you are looking for a challenging and rewarding career in a friendly environment, please submit your resume by visiting the Careers section of our website at _. Wade Trim is an Affirmative Action/Equal Opportunity Employer.