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Lead Machine Learning Engineer (IC)\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 2+ years of experience developing performant, resilient, and maintainable code \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \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 Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer\n \n San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer\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 Machine Learning Engineer (AI Foundations)\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) \n • \n At least 3 years of experience designing and building data-intensive solutions using distributed computing \n • \n At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) \n • \n At least 1 year of experience productionizing, monitoring, and maintaining models \n\n \n Preferred Qualifications: \n\n • \n 1+ years of experience building, scaling, and optimizing ML systems \n • \n 1+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of experience developing performant, resilient, and maintainable code \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience with distributed file systems or multi-node database paradigms \n • \n Contributed to open source ML software \n • \n Authored/co-authored a paper on a ML technique, model, or proof of concept \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \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 McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer\n \n New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer\n \n \n \n \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).

Lead Machine Learning Engineer\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale (including AWS and Kubernetes). \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Go, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 2+ years of experience developing performant, resilient, and maintainable code using Python or Go \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Experience designing, implementing, and scaling, infrastructure using Kubernetes. \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \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 Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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).

Sr. Lead Machine Learning Engineer\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 3 years of experience building, scaling, and optimizing ML systems \n • \n At least 2 years of experience leading teams developing ML solutions \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 3+ years of experience developing performant, resilient, and maintainable code \n • \n 3+ years of experience with data gathering and preparation for ML models \n • \n 3+ years of people management experience \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n Ability to communicate complex technical concepts clearly to a variety of audiences \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \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 McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer\n \n Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)\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 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 You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. \n • \n A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. \n • \n Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. \n • \n Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. \n • \n You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. \n • \n You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs \n • \n Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. \n\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 Capital One is open to hiring a Remote Employee for this opportunity \n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) \n • \n 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) \n • \n 8+ years of experience designing mission-critical machine learning platforms \n • \n 2+ years of 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field \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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading GenAI or LLM-Powered application architectures in production \n • \n Deep understanding of Responsible AI, data privacy and multi-tenant security patterns \n • \n K8s mastery (multi-region clusters, service mesh) \n • \n Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production \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 Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\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).

Lead Machine Learning Engineer (Manager IC)\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures — pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing. You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 2+ years of experience developing performant, resilient, and maintainable code \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \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: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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 JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills., • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Benefits SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‐generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‐driven decision‐making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‐related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‐source and vendor data‐lineage tools and contribute to long‐term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills., • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.Company DescriptionHealthix is a non-profit organization that works to improve patient care and manage population health. We securely aggregate patient health data from hospitals, labs, ambulatory care facilities and more and we share it amongst providers to improve clinical outcomes and enhance value based care delivery.Healthix is a non-profit organization that works to improve patient care and manage population health. We securely aggregate patient health data from hospitals, labs, ambulatory care facilities and more and we share it amongst providers to improve clinical outcomes and enhance value based care delivery.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. The Opportunity Kargo is hiring an AI Engineer to architect, build, and scale AI-powered products and automations for our commercial organization. Operating within the Data & AI team, you'll be the connective tissue between revenue teams and AI infrastructure—proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. The Daily To-Do • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks—LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures—with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Build production-grade LLM applications—agent workflows, retrieval systems, internal copilots—for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant, • Maintain a governance model covering prompt engineering standards, agent testing, audit trails, and feedback loops that drive continuous iteration, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Own and communicate the AI Ops roadmap to Data & AI leadership—prioritized by business impact, sequenced by feasibility, and grounded in real discovery with commercial teams, • Serve as Kargo's internal thought leader on applied AI—staying current on the LLM and agent landscape and sharing knowledge generously to raise AI fluency across teams Qualifications • 5–8+ years in systems automation, internal tools, or process/data engineering, with hands-on experience in orchestration platforms such as n8n, LangGraph, Zapier, or Make, • Proficiency in Python or JavaScript for custom connectors and scripting, with strong familiarity with SaaS APIs and system interoperability, • Experience building production-grade LLM applications using ChatGPT Enterprise and related LLM APIs, including familiarity with evaluation and observability frameworks, • Fluency with AI-assisted development tools (Claude Code, Cursor, Codex) to accelerate velocity, • Proven ability to translate between engineers and revenue leadership, earning trust by delivering things that work and staying close to adoption after deployment, • A builder's instinct and bias for impact—ships fast, iterates on real feedback, knows when to build vs. buy, and measures success by adoption and friction reduction, not lines of code, • Nice to have: prompt libraries, embeddings-based retrieval or vector databases (Pinecone, Weaviate), RAG pipelines, Retool or Streamlit for lightweight internal UIs, and ArgoCD or Kubernetes CI/CD experience In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible to participate in the Kargo Incentive Plan (KIP). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $140,000—$180,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. The Opportunity As Head of Data, you own Arlo’s most critical engineering infrastructure: the underwriting system that prices our risk and drives our growth and profitability. The core of the job is iterating on the underlying model and business logic quickly — testing new approaches and reacting to market shifts like GLP-1 drugs or emerging cancer treatments. Our underwriting system sits on top of a multi-billion-row claims database. It allows for efficient training of large scale machine learning models, but it also has to serve inference results with low latency. You’ll own this system end to end: data ingestion, model iteration, backtesting, and serving results via API to our quoting frontend. You’ll work closely with Sean Chin, our Head Actuary, to translate business and modelling priorities into what the data team builds next. You will make architectural decisions and be the technical leader for the data engineering and data science team. Data sits at the core of everything we do — unsurprising for a company founded by an ex-Palantir engineer. We use it to surface care gaps and trigger member outreach, identify fraudulent billing, develop cost-containment strategies, and evaluate doctor quality so our members find the best care. You’ll own the enterprise-wide data layer that feeds all of these operational teams. In the era of AI, a strong data foundation and well-designed ontology are what make agent deployment actually work, and you’ll lead the organization that builds them — leveraging our existing engineers and making additional hires over the next 12 months. About You You’ve designed enterprise wide data architecture and systems that deploy ML models in production. You care about injecting data into operational workflows and powering the core of a company’s business and not being an ancillary function. You understand the importance of a clean data model. You write Python, configure clusters, and stay close to the work rather than delegating the hard calls away. You have worked with health care data before and understand the nuances of medical claims, diagnosis codes, procedure codes, etc, We appreciate strong opinions loosely held and we are looking for someone who can balance good engineering standards with the right business needs. Clear communication skills are important to be able to coordinate with the actuarial team and other business units, understand their requirements and partner closely with the teams who will be the users of your work. Responsibilities Underwriting System Own the data pipelines & system end to end: data ingestion, model training & inference, and serving results via API to our quoting frontend and manage the underlying infrastructure. Work closely with Sean Chin, Head Actuary, to translate business and actuarial priorities into scoped, executable work for the data team. Drive continuous improvement of the underwriting model: monitor for model drift, build evaluation infrastructure, and ensure the system stays accurate as Arlo’s book of business grows. Improve iteration speed across the underwriting pipeline so the team can test, adjust, and deploy faster. Hold the technical bar across the data function: set engineering standards and establish clear practices for how the team collaborates, documents, and ships. Enterprise Data Build and maintain Arlo’s core data ontology — integrate data from across the organization into a clean, well-governed layer that can serve use cases including underwriting, care management, care navigation, claims adjudication, etc. Ingest data from multiple sources and build the monitoring systems that keep data quality high. Technical Leadership & Team Directly manage a team of six; serve as technical lead for the data science team — providing code review, architectural guidance, and the standard they build toward. Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are looking for a Senior Machine Learning Engineer to support our Databricks-native machine learning (ML) and AI platform. In this role you will operationalize production-grade ML and AI models, manage deployments, and own building and maintaining robust monitoring and governance pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators. We are a Databricks shop, and in this role, you are expected to be familiar with the Databricks ecosystem, including Databricks Workflows, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code, as well as tools like MonteCarlo, Fiddler, and MLFlow. In addition to solid technical skills, this role requires strong communication across functions and product teams, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. As a FinTech, Curinos operates in a highly regulated environment, and this role is critical in ensuring high-quality model monitoring and compliance. Responsibilities • Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails, • Build and maintain robust and scalable monitoring pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators to ensure SLA adherence, scalability, reproducibility, and reliability, • Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies, • Support governance and compliance requirements: model registry usage, auditability, and reproducibility, • Document processes, automation frameworks, and operational runbooks, • Bring best practices to bear on the team’s products and educate the team members Salary Range: $130,000- $147,000 USD (plus bonus) Desired Skills & Expertise • Strong hands-on experience with Databricks: Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code., • Proficiency with MLflow for experiment tracking, model registry, and deployments., • Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints., • Familiarity with Python, Spark, and SQL for data and ML workflows., • Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.)., • Competency with shell scripting in a Linux environment nice to have, • Exposure to contemporary big data and AI stacks and technologies: Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot, • Some experience with real-time processing nice to have, • Solid understanding of data structures and algorithms, • Some experience with production support, • Self–discipline and willingness to learn, • Solid verbal and written communication skills, • Team player and ability to work well with others in an intellectually challenging environment Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program, • Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the Role Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring a Senior ML Infrastructure Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. • Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection., • Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team., • Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities • Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability., • Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above., • Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time., • Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of., • Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval., • Own deployment, CI/CD and operational reliability of the platform on Kubernetes., • Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications • Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes., • Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems., • Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes., • Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end., • A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications • Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval., • A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware., • Familiarity with transaction data and transaction fraud signals. Compensation • Base salary range: $180 – $270, • Bonus / commission: 15% Travel • Minimal travel expected. This is an on-site role based in New York City, with 3–4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We are looking for a Senior Software Engineer to join the Patient Experience team at Ro. This is a backend, product-focused role. You will partner closely with Product, Design, Data, and other teams to define, build, and iterate on features that directly impact patient onboarding, care delivery, and insurance workflows. You’ll own backend systems that power critical patient and provider experiences — not just from a technical perspective, but from a product and business outcomes lens. You’ll refine ambiguous problems through solution design, implementation, experimentation, and iteration while ensuring the backend is performant and monitoring for real-world feature engagement and adoption. While this role is highly focused on backend engineering, we value engineers who understand how their systems drive user-facing experiences and who enjoy collaborating cross-functionally to deliver meaningful product outcomes.What You’ll Do: • Design and build scalable, reliable, and resilient distributed services using Python with FastAPI or Django, supporting critical clinical and operational workflows, • Partner closely with product teams to shape feature requirements, define success metrics, and translate business goals into scalable backend solutions., • Operate as a domain owner — accountable not only for system reliability and performance, but for how your systems drive measurable product and operational outcomes, • Own features end-to-end from technical discovery through launch and iteration, using data and feedback to continuously improve outcomes, • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Actively contribute to building the team’s architectural vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure the consistent application of best practices across relevant domains, • Participate in on-call rotations to ensure reliability of production systemsWhat You’ll Bring to the Team:, • 5+ years of software engineering experience, • Experience architecting, designing and building scalable web applications and distributed systems, • Proficiency with Python, relational databases, and frameworks like FastAPI or Django, with hands-on experience in metrics instrumentation and data-driven performance tuning leveraging Ro’s load testing infrastructure and tools like Datadog, • Experience partnering closely with Product to scope and deliver user-facing features that drive measurable business impact, • Proven track record of scaling complex, data-intensive backend systems through rapid growth on a high-traffic engineering organization, ensuring high performance and availability, • Strong intuition for product tradeoffs — balancing speed, scalability, and long-term architecture, • Deep understanding of distributed systems-data consistency, communication patterns, and service boundaries, backed by hands-on experience building and maintaining data-intensive production systems, • Strong sense of ownership with the ability + desire to own technical roadmaps and refine ambiguous problems, • Demonstrated ability to collaborate with other engineers and cross-functional partners to create the best possible productsBonus Skills:, • Experience in telehealth or other highly regulated industries, • Experience with decoupling monolithic applications into distributed asynchronous servicesWe’ve Got You Covered:, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing, • Virtual resources for mindfulness, counseling, and fitness We welcome qualified candidates of all races, creeds, genders, and sexuality to apply.The target for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. The Opportunity Kargo is hiring a senior engineer to keep our in-app advertising reliable, performant, and revenue-ready across a fragmented ecosystem of devices, SDKs, mediation layers, and demand sources. This role owns deep technical investigation across the full ad lifecycle—from bid response through rendering and measurement—and helps elevate in-app advertising into a first-class part of Kargo's platform. The Daily To-Do • Diagnose complex in-app failures spanning rendering, SDK behavior, mediation, and attribution—isolating root cause across SDK, mediation, creative, and demand boundaries instead of patching symptoms, • Ship improvements to SDK and rendering infrastructure that improve render success rates and stability across iOS, Android, WebViews, and mediation partners, • Deliver latency and efficiency optimizations across the ad stack with quantifiable gains in load time or resource use, • Partner with Business Development to evaluate and bring online new vendor and demand integrations, weighing opportunities on technical merit and long-term maintainability, • Drive production issues to resolution across engineering, product, and ops without dropping the thread, measurably reducing partner-facing escalations, • Communicate technical findings clearly to Business Development, partners, and non-engineers, • Raise engineering quality through code review, testing discipline, and thoughtful use of AI-assisted workflows so production defects in the rendering path trend down quarter over quarter Qualifications • 5+ years of software engineering with significant exposure to mobile app advertising technologies, • Strong grasp of the mobile programmatic ecosystem—mediation, bidding, SDK integrations, OpenRTB, and ad rendering workflows, • Hands-on experience with mobile ad creative standards and cross-platform behavior across SDKs, WebViews, and mediation partners, • Proven ability to debug the full in-app stack, from creative delivery through rendering and attribution, • Performance engineering fundamentals: latency optimization, scalability, and system efficiency, • Fluency with real-device QA, inspection and proxy tooling, and production debugging techniques, • Preferred: working knowledge of the mobile privacy and measurement landscape and its impact on ad serving and attribution, plus a Bachelor's in Computer Science, Engineering, or a related technical discipline In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible to participate in the Kargo Incentive Plan (KIP). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $150,000—$185,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As an Staff Applied AI Engineer at Amigo, you'll lead the technical delivery of customer deployments end to end. You'll set the architecture, break big ambiguous problems into work a team can own, commit the timelines, and hold the bar for what ships. It's a hands-on leadership role at the intersection of engineering, product, and the customer. Depending on your strengths, the role leans toward deep technical leadership, people leadership, or both. Some tech leads are the deepest technical authority on the team and take the hardest problems themselves. Others manage a handful of engineers and own how the team operates. Most do some of each. We work out the shape with you. What you might work on Leading an AI deployment for a major healthcare customer, from first conversation to production Turning an ambiguous customer need into a clear technical plan with owners and timelines Setting the architecture and engineering standards the team builds within Making the calls on tradeoffs: what to build now, what to reuse, and what to push back on Growing the engineers around you and raising the bar of the whole team Working directly with customers to keep scope, timelines, and quality honest You may be a fit if You've led significant engineering work end to end, as a tech lead, staff engineer, or engineering manager You've broken hard, ambiguous problems into work other engineers could own and deliver You have real experience with LLMs and agent systems, or the depth to get there fast You have the judgment to make tradeoffs and the standing to say no when something doesn't hold up You lead well, whether through architecture, through people, or both You're low ego, direct, and hold yourself and your team to a high bar You can work on site in New York City or San Francisco Nice to have Experience in a regulated or high-reliability domain (healthcare, finance, legal) Experience shipping production AI or ML systems Background in customer-facing or forward-deployed engineering Experience growing engineers or running a small team Benefits (available to Full-Time Employees) Health & Wellness Comprehensive health, dental, and vision insurance Daily catered lunch and dinner Mental health support and wellness coaching Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development Annual learning budget for courses, books, or conferences Conference attendance budget for professional development Annual team offsite Academic collaboration opportunities Unlimited PTO Our Core Values Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $240K - $300K

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly—powering recommendation systems, clinical decision support, agentic AI products, and developer tooling—and the infrastructure underneath needs to scale with them. As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you. Responsibilities Infrastructure & Serving • Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer, • Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers, • Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows, • Develop high-performance GPU inference pipelines with low latency and high availability, • Own the multimodal data pipeline layer—manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems AI Systems & Tooling • Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling, • Build developer tooling that accelerates data science and ML engineering workflows across the organization Observability & Operations • Own AI observability—build monitoring, alerting, and debugging capabilities for production ML systems, • Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities, • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing, • Participate in our on-call rotation to ensure model serving uptime, pipeline reliability, and infrastructure healthRequirements, • 6+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering, • Strong software engineering fundamentals in Python and deep infrastructure expertise, • Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines, • Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS), • Experience building evaluation and observability systems for LLM-based or agentic AI applications is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • Experience with a systems language (Go, Rust, or C++) is a plus This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $155,000-$215,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout Us Altro powers the next generation of wellness businesses with clinical infrastructure built for growth. We're building a platform that enables wellness businesses to offer clinical services they currently can't provide on their own, including blood testing, prescriptions, and peptides, supervised by a clinical team. Think Shopify for wellness businesses. The team behind Altro has done this before: Harvard Business School MBAs and a second-time founder, alongside operators and executives who've taken startups through exits as founding-team members. We're backed by top venture capital firms. The tailwinds are massive: Peptides going mainstream, GLP-1s unlocking the category, the longevity movement in full swing, and AI unlocking what wasn't possible a year ago. We're still early. Which means every hire matters. Join at the ground floor, work directly with the founders, and be part of something rare: a company at the intersection of a massive market shift and the moment when AI is reshaping what small teams can build. The Role We're looking for a Full Stack Engineer to join a small, high-velocity engineering team building the infrastructure that powers Altro's platform. You'll ship real features from day one — building dashboards, partner-facing tools, and consumer experiences alongside our CTO and Senior Engineer. You'll work across the stack, though most of what you'll build lives closer to the front end than pure backend. You'll write code, ship to production efficiently, and grow fast alongside engineers who are voracious about the craft. This is the right role for someone 2-4 years into their career who wants to level up fast. You'll get real ownership, direct feedback, exposure to modern tooling and infrastructure, and the freedom to grow into a senior engineer at Altro over the next few years. What You'll Build • Partner and consumer experiences. The wellness operator's control panel, the consumer's clinical experience, everything that makes the two-sided marketplace work, • Dashboards. Partner-facing analytics, consumer-facing progress views, internal ops dashboards — a lot of what the whole team is working on right now, • AI-powered workflows. Features that use MCP and modern agentic frameworks to make our product smarter, and internal tools that let the team work faster, • Data-driven features. We built our data infrastructure for AI and analytics from day one — you'll build features that leverage itThe Stack, • Frontend: React, TypeScript, Next.js, • Backend: Go, GraphQL, MongoDB, • Cloud & infra: Google Cloud, including the Healthcare API, • AI tooling: Claude Code and next-generation agentic dev environments, • CI/CD: Modern pipeline with lints, checks, AI code review, and feature-flagged deployments We stay current on our stack and invest in tooling so you can focus on shipping. Requirements Who You Are • 2-4 years of full-stack engineering experience, ideally at a startup or fast-moving team, • Strong React skills. You've shipped real production frontends and you know your way around TypeScript, component architecture, state management, and modern build tooling, • Full-stack comfort. You can work across the stack — build the frontend, wire up the API, work with the database. Front-end leaning is fine, back-end leaning is not (we need you shipping UI), • AI-native. You use Claude, Cursor, or equivalent AI tools daily. You're not skeptical of AI coding — you're getting fluent with it because you know it's leverage, • Comfortable with startup pace. We move fast, ship often, and iterate. If you're coming from a slower environment, that's fine — but this role isn't a good fit if you want to move at big-company pace, • Fast and hungry. You want to ship, learn, and grow. You're excited by the idea of getting reps at 3x the pace of a bigger company, • E-commerce or marketplace background is a plus but not required. If you've built two-sided products, transaction flows, or seller/buyer experiences, tell us What Matters Less • CS degree. Not required if you can do the work — self-taught, bootcamp, and non-traditional paths are all welcome, • Domain expertise. We'll teach you what you need to know about wellness and clinical operations. What we care about is the engineering and the paceWhat You'll Get Beyond the standard startup pitch, a few things that actually differentiate this seat: • Modern AI-native tooling. You'll code with Claude Code and the latest agentic dev environments. If you're excited to work at the frontier of how engineers ship in 2026, this is that seat, • Data infrastructure built for AI from day one. You'll build features that leverage our data foundation and work with MCP and agentic frameworks as part of the product, not as a side project, • A codebase that respects your time. We stay current on our stack, invest in tooling, and ship to production efficiently, • A team that levels each other up. Everyone here reads technical papers, watches conference talks, and shares what they learn. Annual learning budget backs it up, • Minimal meetings, real autonomy. We protect deep workLogistics, • Location: New York City, • Schedule: Hybrid — 3 days in-office, remainder remote, • Reports to: CTO Benefits Compensation & Benefits • Base salary: $130,000 – $150,000, depending on experience, • Equity: Meaningful early-employee equity grant, • Health benefits: Medical, dental, and vision (100% covered by Altro), • Commuter benefits, • One Medical membership, • Peloton Digital membership, • Learning and development budget, • $150 monthly reimbursement for Altro products Why This Role This is a seat on a small engineering team at a company with real momentum, modern tooling, and a stack that respects your time. You'll ship faster here than at most companies, learn faster because of the people around you, and have direct proximity to the founders and the product decisions that matter. If you're 2-4 years into your career and want to grow into a senior engineer — with the reps, the mentorship, and the equity to make it worth it — this is that role.

Job Description Elixir Engineering Manager Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.ai is creating the “Intelligent Accounting” era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually business foresight. We’re a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). We’re US-based, but our team is global, from New Zealand to California. We’re bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market is huge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you You’ve been a software engineer for 5+ years and now have management experience, but you’ve been a tinkerer and a builder your whole life. We’re a team of builders—when we aren’t building Vic.ai, we’re tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. We’re looking for an experienced team leader who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. You’re ready for the next step in your career, ready to take on fast-moving challenges. You’re enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Who we're looking for: BS (or higher) in Computer Science or a related technical field, or equivalent technical experience 10+ years of relevant work experience including leadership roles Professional experience with Elixir programming language Track record of shipping high-quality products and features Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer • An exciting work environment operating at the forefront of AI technology development, • Competitive salary, • 401K, health/vision/wellness perks (including health insurance coverage option 100% free for the employee AND family and perks like ClassPass and CitiBike!), • Generous maternity and paternity leave, • Virtual team building events & awesome swag, • People-focused culture, adding-value and fun to our meetings, • Generous vacation time, family and travel-friendly environment, • Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment, • The opportunity to work remotely, including workstation setup, • A team-focused culture. The team builds the product, the business builds the team. Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We are looking for a Staff Software Engineer to join the Commerce Platform team at Ro. In this role, you will operate as a technical leader, mentor, and architect — helping shape the future of our platform and driving the delivery of financial systems that power how healthcare is accessed and sustained. You will partner closely with other engineers, product managers, designers, and cross-functional leads to define and deliver technical roadmaps that balance immediate product needs with long-term technical stability, scalability, and maintainability. As a Staff Engineer, you will not only design and build robust distributed systems but also mentor engineers, influence engineering culture, and play a key role in technical decision-making. If you thrive in complex problem spaces, enjoy shaping technical direction at scale, and are motivated by the opportunity to improve healthcare through technology, we’d love to hear from you. What You'll Do • Build robust, and scalable backend capabilities using Python and FastAPI, supporting critical commerce domains like payments, pricing, and invoicing, • Lead cross-functional technical efforts — collaborating closely with product managers, designers, and engineers from adjacent teams to ensure alignment and technical integrity across boundaries, • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Define and maintain SLIs/SLOs in collaboration with product, infra and other development teams, • Participate in on-call rotations to ensure reliability of commerce systemsWhat You’ll Bring to the Team, • 7 - 10+ years professional backend software development experience, • Proficient in Python (preferred - we have some language flexibility!), relational databases, and frameworks like Django or FastAPI, with hands-on experience in metrics instrumentation and data-driven performance tuning using tools like Datadog, • Proven experience building and maintaining high-scale backend systems, ideally in commerce, fintech, or healthcare settings, • Deep understanding of distributed systems—data consistency, communication patterns, and service boundaries—backed by hands-on experience building and maintaining high-traffic production systems., • Excellent communication skills and the ability to lead cross-functional technical projects, • A sharp focus on quality and risk—you move with urgency while safeguarding against issues like double charges, misbilling, or inconsistent payment statesBonus Skills, • Experience in telehealth or other highly regulated industries, • Deep familiarity with breaking down monolithic systems into well-defined domainsWe’ve Got You Covered, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTOWellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insuranceStudent loan refinancing, • Virtual resources for mindfulness, counseling, and fitnessThe target base salary for this position ranges from $211,700 to $292,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission Own the evolution of Finetouch, Kargo's creative scoring system, by leading the design and production deployment of multimodal ML models that quantify creative quality and predict ad performance. This role is the technical anchor for the Creative Sciences Platform — translating research in LLMs, VLMs, and multimodal learning into scalable, reliable systems that creative and product teams build on. Success means Finetouch becomes faster, smarter, and more trusted as the intelligence layer behind Kargo's creative analytics. Outcomes - What Success Looks like in 6-12 months • Ship the next generation of Finetouch. Deliver a measurably improved version of the creative scoring model — better predictive accuracy on creative performance, expanded multimodal signal coverage (visual + text + engagement), and validated lift over the current baseline., • Stand up production-grade MLOps for Creative Sciences. Establish end-to-end pipelines (training, fine-tuning, deployment, monitoring) on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks, with full reproducibility., • Scale distributed training and inference. Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch Distributed, and right-sized cloud infrastructure — enabling larger models and faster experimentation cycles., • Expose Finetouch as a platform. Build and operate the APIs, embedding services, and model endpoints that let Glossi and other Kargo creative platforms consume scoring in real time, with documented SLAs and integration patterns., • Operationalize model reliability. Deploy real-time monitoring, drift detection, and alerting so production model degradation is caught before it affects creative decisions, with clear runbooks and on-call ownership. Skills - Core Technical Capabilities Required: • 5+ years in ML engineering or MLOps, with shipped production systems involving LLMs, VLMs, or multimodal architectures, • Expert in Python and PyTorch (or TensorFlow), plus distributed training frameworks (Ray, PyTorch Lightning, Horovod), • Hands-on with MLOps tooling: MLflow, Weights & Biases, Kubeflow, Argo, or Airflow for orchestration, experiment tracking, and automated retraining, • Cloud-native ML deployment on AWS (SageMaker), GCP (Vertex AI), or Azure ML, with infrastructure-as-code (Terraform, Helm), • Production fluency with Docker, Kubernetes, and CI/CD patterns for ML, • Strong SQL, data pipeline, and feature store design for scalable experimentation Preferred: • Experience with vector databases, embedding pipelines, and real-time retrieval systems, • Background in creative scoring, aesthetic modeling, or ad performance prediction Competencies - Behaviors We Like to See Research-to-Production Judgment • Knows when a model is good enough to ship vs. when it needs another iteration — doesn't over-engineer or under-validate, • Translates papers and prototypes into systems that survive production traffic, monitoring, and on-call Systems Thinking at Scale • Designs for the second and third version of the model, not just the first — pipelines, abstractions, and infra that compound over time, • Optimizes the full stack: training cost, inference latency, and developer iteration speed, not just model accuracy Cross-Functional Translation • Explains multimodal modeling tradeoffs to Product and Creative stakeholders in terms of business impact, not architecture diagrams, • Partners with Data Science and Platform Engineering as co-owners, not handoff points Operational Ownership • Treats drift, latency regressions, and silent failures as personal — instruments systems so problems are caught early and root-caused fast, • Documents architecture, decisions, and runbooks so the platform outlives any single contributor In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $150,000—$175,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly—powering recommendation systems, clinical decision support, agentic AI products, and developer tooling—and the infrastructure underneath needs to scale with them. As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you. Responsibilities Infrastructure & Serving • Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer, • Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers, • Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows, • Develop high-performance GPU inference pipelines with low latency and high availability, • Own the multimodal data pipeline layer—manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems AI Systems & Tooling • Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling, • Build developer tooling that accelerates data science and ML engineering workflows across the organization Observability & Operations • Own AI observability—build monitoring, alerting, and debugging capabilities for production ML systems, • Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities, • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing, • Participate in our on-call rotation to ensure model serving uptime, pipeline reliability, and infrastructure healthRequirements, • 4+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering, • Strong software engineering fundamentals in Python and deep infrastructure expertise, • Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines, • Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS), • Experience building evaluation and observability systems for LLM-based or agentic AI applications is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • Experience with a systems language (Go, Rust, or C++) is a plus This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan., • Flexible Work Options: Work remotely or connect with the team in our NYC office.Compensation: Salary will be commensurate with experience and qualifications, with a competitive benefits package offered.BDG is a leading independent media company with a portfolio of influential brands, including Bustle, Nylon, W, and Inverse. Our content reaches over 115 million readers monthly. Data is at the core of our business, driving audience insights, content monetization, and strategic decision-making. Join BDG and help shape the future of data-driven media! Apply now to become part of our innovative and fast-growing team. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We are looking for a Staff Software Engineer to join the team at Ro. In this role, you will operate as a technical leader, mentor, and architect — helping shape the future of our platform and driving the delivery of systems that directly impact patients and providers. You will partner closely with other engineers, product managers, designers, and cross-functional leads to define and deliver technical roadmaps that balance immediate product needs with long-term technical stability, scalability, and maintainability. As a Staff Engineer, you will not only design and build robust distributed systems but also mentor engineers, influence engineering culture, and play a key role in technical decision-making. If you thrive in complex problem spaces, enjoy shaping technical direction at scale, and are motivated by the opportunity to improve healthcare through technology, we’d love to hear from you.What You’ll Do • Design and build scalable, reliable, and resilient distributed services using Python and FastAPI, • Operate as an owner and technical leader within your team's domain and proactively assess and improve system performance and reliability, • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Define and own technical roadmaps, breaking down ambiguous and complex problem spaces into clear project plans and deliverables, • Mentor and collaborate with engineers across levels, raising the technical bar and fostering growth across the team, • Lead cross-functional technical efforts — working closely with product managers, designers, and engineers from adjacent teams to ensure alignment and technical integrity across boundaries, • Participate in on-call rotations to ensure reliability of production systemsWhat You’ll Bring to the Team, • 7 - 10+ years of software engineering experience, including experience in roles involving technical leadership, • Experience architecting, designing and building scalable web applications and distributed systems, • Proficiency with Python, relational databases, and frameworks like FastAPI or Django, with hands-on experience in metrics instrumentation and data-driven performance tuning leveraging Ro’s load testing infrastructure and tools like Datadog, • Proven track record of scaling complex, data-intensive backend systems through rapid growth (ideally in a mid-to-late stage startup environment), ensuring high performance and availability, • Deep understanding of distributed systems-data consistency, communication patterns, and service boundaries-backed by hands-on experience building and maintaining data-intensive production systems, • Strong sense of ownership, with the ability to understand and break down complex problem spaces into technical roadmaps, • Demonstrated ability to mentor engineers, foster collaboration, and set technical directionBonus Skills, • Experience in telehealth or other highly regulated industries, • Experience with decoupling monolithic applications into distributed asynchronous servicesWe’ve Got You Covered, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing, • Virtual resources for mindfulness, counseling, and fitnessThe target base salary for this position ranges from $211,700 to $292,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave's ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave's global hardware fleet. You'll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You'll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: • Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services., • Maintain, monitor, and upgrade CoreWeave's data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset., • Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads., • Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance., • Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives., • Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences., • Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting., • Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations., • Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement.Who You Are:, • Bachelor's degree in Computer Science, Engineering, or a related field., • 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment., • Strong SQL skills for data manipulation, modeling, and querying large datasets., • Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala., • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark)., • Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning., • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services)., • Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design., • Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability., • Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences.Preferred:, • Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi)., • Experience with Trino or other distributed SQL query engines at scale., • Experience with Apache Superset or other BI/visualization tools for building self-service analytics., • Experience with data quality frameworks, data observability tooling, and/or metadata management., • Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization., • You're curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling., • You're an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Clerkie Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt. Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures. About the role We're looking for a Backend Engineer who wants to build and own critical systems in a fast-moving environment. This role is ideal for someone with strong backend fundamentals who is ready to take on meaningful ownership. You'll work on systems that power Clerkie's platform and support both internal and external product experiences. At Clerkie, engineers operate with a high degree of ownership and autonomy. You'll collaborate across functions, contribute to technical decisions, and help ensure the platform remains reliable as we grow. Because we're still early, this role goes beyond implementation you'll play a role in shaping how we build and evolve our systems over time. Here's what you'll do • Design, build, and maintain backend services, • Contribute to system reliability, performance, and scalability, • Participate in technical design discussions and decision-making, • Support feature development across the platform, • Improve visibility into system health and performance, • Collaborate cross-functionally to deliver a seamless user experience, • Contribute to internal engineering practices and documentationHere's a snapshot of what the Engineer team tackled recently, • Scaled backend systems to support growing enterprise usage, • Built new infrastructure to support partner integrations, • Improved system observability and production reliability, • Supported high-priority product initiatives tied to revenue growth, • Collaborated closely with leadership on technical direction and tradeoffs, • Refined how we build, ship, and maintain systems, • Helped clean up and organize Coda, our internal knowledge hub, to make life easier for future new hires (like you!), • Onboarded a new teammate to the Engineering team and updated internal rituals to set them up for success, • Spent the day on a private ranch in Jackson Hole horseback riding, axe throwing, eating outside a Michelin Star chef's table, roasting smores under the stars, and celebrating your latest hackathon win, • And more! From big wins to team traditions, it's been a big year so far and we're just getting started 😎Must-haves, • Experience building and shipping backend systems in production, • Strong fundamentals in system design and backend architecture, • Proficiency in JavaScript / Node.js (or similar backend languages), • Experience working with databases (NoSQL preferred, e.g., MongoDB), • Ability to own projects end-to-end and operate independently, • Strong communication skills across technical and non-technical teams, • Comfort working in a fast-moving, evolving startup environmentNice-to-haves (but not required), • Experience working on backend or server-side, • Experience with AWS (EC2, S3, etc.) or cloud infrastructure, • Experience with distributed systems or data-heavy applications, • Familiarity with fintech, financial services, or regulated industries, • Background in engineering, computer science, analytics, or another technical field, • Experience working in early-stage startups or high-growth environments, • Curiosity about financial wellness and technology that improves people's livesWhat we value, • Strong ownership mindset - you take responsibility for outcomes, not just tasks, • Bias for action - you move quickly and make thoughtful decisions, • Customer-first thinking - you care about the real-world impact of what you build, • Resilience and adaptability - you can navigate ambiguity and evolving priorities, • Desire to build something meaningful and long-lastingOur salary & benefits, • 💰 Salary range: $90-150k, • 💼 Equity, • 💻 Remote-first role (US only), • 🧘 Medical, dental, and vision insurance, • 📈 401(k) + retirement benefits, • 🌴 Paid time off + annual company retreat, • 💻 Company laptop + home office stipend, • 💙 Collaborative, values-driven cultureOur Hiring Process We believe in a two-way interview process that helps us get to know you and helps you get to know us. • Application & Coderbyte (async candidate time), • Recruiting Screen w/ Head of People (15-20 minutes via Google meet), • Take-Home Challenge & Live Review w/ Sr. Engineer (challenge is async candidate time, live review is 45 mins via Google meet), • Live Coding Challenge w/ Sr. Engineer (90 minutes via Google meet), • Final Management Meeting w/ SLT (45 minutes via Google meet) Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. We approach this stage with transparency and sensitivity, and candidates will be provided with clear information about the process. AI & Interview Assessments At Clerkie, we embrace AI and use it throughout our day-to-day work. We value people who thoughtfully leverage modern tools to learn, build, and solve problems more effectively. Our interview process is designed to evaluate each candidate's own technical thinking, communication, and problem-solving approach. To help ensure every candidate is assessed fairly, consistently, and under the same conditions, we ask candidates not to use external problem-solving resources during live interviews or technical assessments unless we explicitly state otherwise. This includes AI assistants, interview assistants, search engines, and other third-party resources. You're welcome to reference any documentation or materials that we provide as part of the interview. This expectation does not apply to approved interview accommodations or assistive technologies. If you require a reasonable accommodation at any stage of our hiring process, please let us know. We're committed to providing an accessible and equitable interview experience for all candidates. If this interview expectation is not followed, we may conclude the assessment and discontinue the interview process.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, while playing a critical role in selecting and implementing technology that will help Hinge to make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases. You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more. You will be making a real impact on the data platform team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people. Responsibilities: Design, develop, and maintain core services within Hinge’s data platform. Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization. Work on observability systems that enables holistic system and data quality monitoring Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers. Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For: 4+ years of professional/industry experience. Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development. Experience modeling data sets for different types of sources and business processes. Strong communication skills (written/verbal). Exposure to ML Ops or other data engineering workloads. Effective analytical, troubleshooting, and problem-solving skills. A degree in computer science, engineering, or a related field. Experience with the following technologies: Programming: Python, Go, Scala, Java Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure. DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions Streaming: Kafka, PubSub, Dataflow Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt BI platform: Looker Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description At Reltio®, we believe data should fuel business success. Reltio's AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain Data Unification, and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native Data Unification capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our "Customer First", we strive to ensure their success. We embrace our differences and are "Better Together" as One Reltio. We are always looking to "Simplify and Share" our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We "Own It". Every day, we innovate and evolve, so that today is "Always Better Than Yesterday". If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you're ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let's talk! Job Summary: Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement. Job Duties and Responsibilities: • Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge., • Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals., • Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues., • Provide high-quality customer engineering assistance that results in high customer satisfaction., • Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale., • Attend meetings with clients to analyze, troubleshoot and diagnose problems., • Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback., • Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention., • Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption., • Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives., • Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact., • Participate in a 24/7 on-call rotation, providing after-hours support for critical issues., • Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base., • Proactively communicate to avoid escalations and negative customer satisfaction., • Author technical documents on common issues and solutions to build the knowledge base and participate in communities., • Support weekend shifts on a rotational/as-needed basis if requested., • Lead support initiatives for the betterment of the organization and team., • Other duties and responsibilities as assigned. Skills You Must Have: • Bachelor's degree in Computer Science or equivalent field of study., • 3+ years of experience with on-premise or cloud Data Unification solutions., • 3+ years of experience supporting enterprise products in SaaS in a customer-facing role., • 3+ years of experience with Public Clouds AWS/GCP/Azure and their services., • 3+ years of experience with REST APIs and integration tools., • 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications., • Experience in data management, master data management, analytics, and big data platforms and technologies., • Experience in hands-on programming (ex. Python, Java)., • Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis., • Experience with RESTful API development and debugging, Postman., • Experience with web UI development with JavaScript frameworks., • Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Skills That Are Nice to Have: • MS in computer science or equivalent experience preferred., • Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range$77,000—$142,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Job Description Job Title: Senior Manager, Network & Security Infrastructure Location: New York, NY Department: IT Reports to: VP of Information Technology & Operations Wage Category: FT/Exempt WHO WE ARE Fueled by passion and urgency, the National Kidney Foundation is a lifeline for all people affected by kidney disease. As pioneers of scientific research and innovation, NKF focuses on the whole patient through the lens of kidney health. Relentless in our work, we enhance lives through action, education, and accelerating change. WHAT WE BELIEVE IN NKF’s Mission is what we do, our Values are how we do it. • Accountability- Earn and Keep Trust, • Collaboration-Work as a team, • Communication- Empower with information, • Community-Build stronger community, • Compassion- Lead with care and respect, • Impact-Focus on the mission Your Voice Matters: https://www.kidney.org/about/diversity-equity-inclusion WHO YOU ARE At NKF, our infrastructure ultimately serves to protect the data of the millions of patients, families, donors, advocates, and partners who power our mission to advance kidney health. This role is responsible for the secure design, implementation, operation, and continuous improvement of NKF’s hybrid network and infrastructure environment across cloud and on-premises platforms. The position provides day-to-day technical leadership for network security, cloud security, security monitoring, incident response, and infrastructure risk management while helping ensure that NKF’s mission can scale securely, reliably, and resiliently, and that every dollar entrusted to us is safeguarded by high-caliber technology. WHAT YOU’LL DO Lead & Strategize • Help shape NKF’s infrastructure and security roadmap in alignment with organizational priorities, risk tolerance, and budget realities, • Support budget planning, lifecycle planning, vendor selection, and resource prioritization for network, cloud, server, and security investments, • Coordinate and guide the work of technical staff, managed service providers, and external vendors; manage escalations and help ensure service levels meet organizational needs, • Partner with IT leadership, compliance, finance, and operational stakeholders to support audits, risk assessments, and remediation planning, • Maintain current network diagrams, standards, runbooks, disaster recovery documentation, and change control practices to support operational continuity and governance Build & Secure • Lead hands-on administration and improvement of NKF’s network and infrastructure services, including LAN/WAN/Wi-Fi, routing and switching, firewalls, VPN, DNS/DHCP/IPAM, identity integration, monitoring, and connectivity, • Design, implement, and maintain security controls across network, cloud, and server environments, including segmentation, secure remote access, privileged access, logging, vulnerability remediation, and secure configuration baselines, • Administer and secure Microsoft 365, Entra ID, Azure, Windows Server, and Linux environments to support reliable and resilient services, • Ensure infrastructure resiliency, redundancy, backup, and disaster recovery capabilities are aligned to business needs and operational risk, • Lead or contribute to infrastructure and security projects such as network refreshes, cloud migrations, endpoint security improvements, and modernization initiatives Operate & Respond • Oversee day-to-day monitoring of infrastructure and security events; investigate, triage, and coordinate response to alerts, outages, vulnerabilities, and incidents, • Coordinate containment, eradication, recovery, root cause analysis, and post-incident follow-up with internal stakeholders and MSSP/SOC partners as needed, • Drive continuous improvement in monitoring, patching, vulnerability management, and operational readiness to reduce risk while maintaining a high-quality user experience, • Support compliance and audit activities relevant to NKF’s environment, including protection of health-related information, donation and payment processing systems, grant-related records, and broader security control evidence for frameworks such as NIST CSF and CIS Controls. WHAT YOU’LL POSSESS • 7+ years of progressive experience in IT infrastructure and/or cybersecurity roles with direct responsibility for network, cloud, and server environments., • Demonstrated hands-on expertise in enterprise networking, including routing, switching, firewalls, VPNs, and Wi-Fi, along with strong network security practices., • Experience administering and securing Windows Server and Linux systems in production environments., • Experience implementing security controls in cloud and SaaS environments, including identity and access management, configuration baselines, logging and monitoring, and least-privilege practices, • Working knowledge of vulnerability management, patch management, endpoint and network monitoring, and incident response processes, • Experience supporting compliance and audit activities in environments that include HIPAA-related safeguards, and security control evidence gathering, • Experience with Microsoft 365 security, Entra ID, MFA, Conditional Access, and privileged access controls, • Strong communication, project coordination, problem-solving, and organizational skills, with the ability to work effectively across technical and non-technical teams, • Demonstrated customer service mindset and the ability to manage multiple priorities while meeting deadlines Preferred Qualifications • Bachelor’s degree in computer science, information technology, cybersecurity, or a related field, • Experience leading technical staff, vendors, or managed service providers, including work prioritization, escalation handling, and project coordination, • Experience working in a nonprofit, healthcare, or mission-driven environment, • Additional certifications are a plus, such as one security certification (for example, CISSP or CISM), one networking certification (for example, CCNP), or one cloud certification (for example, Azure Security Engineer Associate or AWS Security Specialty) WHAT WE OFFER • Work/life Integration: Enjoy plenty of vacation time, sick leave, and holidays so you can recharge, regroup or reflect—and come back ready to tackle anything, • Support for Your Health: We've got your back with top-notch medical, dental, and vision insurance plans for you and your loved ones, • Peace of Mind: Rest easy knowing you're covered with life insurance and a 403(b) plan with matching company contributions to secure your future, • Creative savings: Take advantage of flexible spending accounts to save on eligible healthcare and dependent care expenses, • Easy Commuting: Reduce your stress with our commuter benefits program for transit and parking expenses, • Support When You Need It: Access confidential counseling, support services, and resources through our Employee Assistance Program, • A Chance to Spread the Word: Share the love and earn rewards by referring awesome folks to join our team, • A Big Tent: We're all about creating a diverse and inclusive workplace where everyone feels valued, respected, and heard, • Mission-Fueled Culture: Join a team that's passionate about making a difference and guided by values like integrity, compassion, and innovation COMPETENCIES • Accountability: Takes ownership of actions, decisions and results, ensuring high standards of performance and transparency, • Collaboration: Collaborates effectively with peers and stakeholders, contributing to shared team goals. Demonstrates openness to feedback and is willing to work across teams to achieve NKF’s mission, • Cultural Humility: Fosters a team environment that values humility, continuous learning, and respect for diverse cultures. Ensures team members are equipped to interact with individuals from varied backgrounds with sensitivity, • Data-Driven Decision Making & Results Orientation: Analyzes team and project data to drive performance and improve outcomes. Drives team performance, ensuring alignment with NKF’s strategic objectives, • Financial Acumen: Oversees budgets and identifies funding opportunities to align with revenue goals, • Operational Excellence: Implements process improvements across teams, driving productivity gains, • Patient and Community-Centered Focus: Leads teams and executes on implementation of programs and initiatives that address the needs of underserved populations. Ensures that patient, donor, and caregiver needs are central to all decision-making processes, while fostering team accountability for community-focused outcomes, • Resource Stewardship: Manages resources responsibly, balancing cost, quality, and sustainability to maximize impact, • Stakeholder Engagement: Supports NKF’s mission by coordinating the efforts of volunteers, partners, and stakeholders. Engages in project management activities to ensure smooth execution of initiatives and builds relationships that strengthen NKF’s impact in the community COMPETENCIES • Accountability: Takes ownership of actions, decisions and results, ensuring high standards of performance and transparency, • Collaboration: Collaborates effectively with peers and stakeholders, contributing to shared team goals. Demonstrates openness to feedback and is willing to work across teams to achieve NKF’s mission, • Cultural Humility: Fosters a team environment that values humility, continuous learning, and respect for diverse cultures. Ensures team members are equipped to interact with individuals from varied backgrounds with sensitivity, • Data-Driven Decision Making & Results Orientation: Analyzes team and project data to drive performance and improve outcomes. Drives team performance, ensuring alignment with NKF’s strategic objectives, • Financial Acumen: Oversees budgets and identifies funding opportunities to align with revenue goals, • Operational Excellence: Implements process improvements across teams, driving productivity gains, • Patient and Community-Centered Focus: Leads teams and executes on implementation of programs and initiatives that address the needs of underserved populations. Ensures that patient, donor, and caregiver needs are central to all decision-making processes, while fostering team accountability for community-focused outcomes, • Resource Stewardship: Manages resources responsibly, balancing cost, quality, and sustainability to maximize impact, • Stakeholder Engagement: Supports NKF’s mission by coordinating the efforts of volunteers, partners, and stakeholders. Engages in project management activities to ensure smooth execution of initiatives and builds relationships that strengthen NKF’s impact in the community WORKING CONDITIONS, EQUIPMENT USED & SPECIAL INFORMATION Must have unimpeachable integrity and trustworthiness while possessing a high degree of tact, discretion, and professionalism. Must remain effective under pressure. Ability to lift and transport equipment weighing up to 25 lbs. Flexible to work evenings and weekends as needed. This role follows a hybrid arrangement of 3 days per week onsite at NKF’s New York City office, with remaining days remote, subject to business and operational needs. SUCCESS IN THIS ROLE • Within the first 12 months, the successful candidate will establish credibility as NKF’s technical lead for network and security infrastructure and build strong working relationships with internal stakeholders and external partners, • Improve visibility into NKF’s infrastructure environment through up-to-date documentation, stronger monitoring, and well-defined operational runbooks, • Advance key security and infrastructure priorities, such as resiliency improvements, remediation of high-priority risks, and modernization of core network or cloud services, • Strengthen incident response readiness and coordination with managed partners, reducing operational risk and improving recovery confidence EQUAL EMPLOYMENT OPPORTUNITY At the National Kidney Foundation diversity, inclusion, and equal opportunity applies to both our Equal opportunity employer-vets/disabled. NKF is a merit-based employer. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be considered an exhaustive list of all responsibilities, duties and skills required. The salary band listed reflects the range for this position. Actual compensation will be determined based on the selected candidate’s experience, qualifications, and other relevant factors.

Job Description About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for an exceptional Forward Deployed Engineer (FDE) to join our product engineering team. This is an engineering-first role: FDEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with clients' engineering teams to identify problems and design, build, and ship the solutions that solve them. As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical function for Encord and our customers, in a role that combines hands-on engineering with direct client ownership. You’ll do tough system design calls under real customer load, and customers will trust you to get their hardest integration and workflow problems actually solved. You’ll operate autonomously, defining your own path to a solution, managing client relationships directly, and feeding what you learn straight back into the product roadmap. As an end-to-end owner of the deployment process, you will work across a variety of problems: technical engineering, operational excellence, and strategic product work. Expect to build data integrations, guide customers with best practices, demo the product, and contribute to the product roadmap. What you'll do Design and ship high-quality, production-grade code that integrates Encord into customers' most complex data and ML pipelines Own system design decisions for customer deployments, balancing correctness, scalability, and speed Work directly with clients' engineering teams to diagnose problems, scope solutions, and ship fixes end-to-end Build data integrations and technical solutions that support customer onboarding, adoption, and scale at pace Communicate technical plans and tradeoffs clearly to both engineering counterparts and non-technical stakeholders Operate with a high degree of autonomy: identify the right problem to solve, decide how to solve it, and see it through with minimal oversight Collaborate with product and engineering to feed customer insights back into the roadmap Help define and scale the Forward Deployed function as an early team member Who we're looking for A strong software engineer with excellent system design instincts and a track record of shipping high-quality code, frequently and reliably An excellent problem-solver who can take an ambiguous customer situation, break it down, and design a technical solution from scratch A great communicator who is motivated by building customer relationships and solving customer problems Entrepreneurial and autonomous mind, energized by ambiguity and competing technical priorities, and able to manage client relationships and technical delivery without close supervision Ambitious and hardworking, with a track record of top-percentile performance in whatever environment you've been in, whether engineering, academia, business, or sport Experience requirements 3–8 years in a software engineering role; Python is a big plus Experience building or working with data integrations and APIs Strong written and verbal communication skills Ability to thrive in ambiguity and take ownership without being told what to do Prior experience at a high-growth startup is a plus Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Clear, accelerated growth opportunities as the company scales rapidly Strong in-person culture: 4–5 days/week in our newly launched office Flexible PTO to fully recharge 18 paid vacation days in the U.S. plus federal holidays Annual learning & development budget Comprehensive health, dental, and vision coverage Frequent travel opportunities across the U.S., London, and Europe Bi-annual company offsites, twice-weekly team lunches, and monthly socials

Job DescriptionAbout Clerkie Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt. Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures. About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable working across the stack - from backend systems to user-facing applications - and is ready to take meaningful ownership of features and systems. At Clerkie, engineers don't just implement specs. You'll collaborate closely with product and design, contribute to technical decisions, and help shape how features come to life from concept through production. Because we're still early, this role goes beyond execution. You'll play a key role in how we build - contributing to system design, product development, and the overall evolution of our platform. Here's what you'll do • Build and maintain full-stack features across backend services and user-facing applications, • Own features end-to-end - from design and implementation through production, • Contribute to system reliability, performance, and scalability, • Participate in technical design discussions and architecture decisions, • Collaborate closely with product and design to deliver high-quality user experiences, • Improve visibility into system health and performance, • Contribute to internal engineering practices, tooling, and documentationHere's a snapshot of what the Engineer team tackled recently, • Scaled backend systems to support growing enterprise usage, • Built new infrastructure to support partner integrations, • Improved system observability and production reliability, • Supported high-priority product initiatives tied to revenue growth, • Collaborated closely with leadership on technical direction and tradeoffs, • Refined how we build, ship, and maintain systems, • Helped clean up and organize Coda, our internal knowledge hub, to make life easier for future new hires (like you!), • Onboarded a new teammate to the Engineering team and updated internal rituals to set them up for success, • Spent the day on a private ranch in Jackson Hole horseback riding, axe throwing, eating outside a Michelin Star chef's table, roasting smores under the stars, and celebrating your latest hackathon win, • And more! From big wins to team traditions, it's been a big year so far and we're just getting started 😎Must-haves, • Experience building and shipping full-stack applications in production, • Strong fundamentals in backend development and system design, • Proficiency in JavaScript / TypeScript (Node.js and modern frontend frameworks), • Experience working with databases (NoSQL experience is a plus), • Ability to own features end-to-end and operate independently, • Strong communication skills across technical and non-technical teams, • Comfort working in a fast-moving startup environmentNice-to-haves (but not required), • Previous Full-Stack or software engineering experience, • Experience with cloud infrastructure (e.g., AWS), • Experience working on data-intensive or complex applications, • Familiarity with fintech or regulated environments, • Experience in early-stage or high-growth startups, • Curiosity about financial wellness and mission-driven technologyWhat we value, • Strong ownership mindset - you take responsibility for outcomes, not just tasks, • Bias for action - you move quickly and make thoughtful decisions, • Customer-first thinking - you care about the real-world impact of what you build, • Resilience and adaptability - you can navigate ambiguity and evolving priorities, • Desire to build something meaningful and long-lastingOur salary & benefits, • 💰 Salary range: $90-150k, • 💼 Equity, • 💻 Remote-first role (US only), • 🧘 Medical, dental, and vision insurance, • 📈 401(k) + retirement benefits, • 🌴 Paid time off + annual company retreat, • 💻 Company laptop + home office stipend, • 💙 Collaborative, values-driven cultureOur Hiring Process We believe in a two-way interview process that helps us get to know you—and helps you get to know us. • Application & Coderbyte (async candidate time), • Recruiting Screen w/ Head of People (15-20 minutes via Google meet), • Take-Home Challenge & Live Review w/ Sr. Engineer (challenge is async candidate time, live review is 45 mins via Google meet), • Live Coding Challenge w/ Sr. Engineer (90 minutes via Google meet), • Final Management Meeting w/ SLT (45 minutes via Google meet) Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. We approach this stage with transparency and sensitivity, and candidates will be provided with clear information about the process. AI & Interview Assessments At Clerkie, we embrace AI and use it throughout our day-to-day work. We value people who thoughtfully leverage modern tools to learn, build, and solve problems more effectively. Our interview process is designed to evaluate each candidate's own technical thinking, communication, and problem-solving approach. To help ensure every candidate is assessed fairly, consistently, and under the same conditions, we ask candidates not to use external problem-solving resources during live interviews or technical assessments unless we explicitly state otherwise. This includes AI assistants, interview assistants, search engines, and other third-party resources. You're welcome to reference any documentation or materials that we provide as part of the interview. This expectation does not apply to approved interview accommodations or assistive technologies. If you require a reasonable accommodation at any stage of our hiring process, please let us know. We're committed to providing an accessible and equitable interview experience for all candidates. If this interview expectation is not followed, we may conclude the assessment and discontinue the interview process.

Job Description New York City, NY · On-site · Full-time Compensation: $175,000–$250,000 + meaningful equity About the Company Our client is an AI-native lender. Its first eight months were spent building novel in-house software — loan-management systems, payment-rails infrastructure, and tooling to analyze business bank transactions and financials — a foundation that let it originate over $100M in funding to CPG brands within its first year. It's now building the product that infrastructure was designed to power: an AI CFO agent that operates across a brand's entire financial stack (deductions, email workflows, accounting and banking data). The agent renders an opinionated, real-time-mutating UI through LLM tool calls and, inspired by leading agentic-coding architectures, uses its own outputs to continuously improve. Founded 2024 · 1–10 people · Industry: FinTech / AI The Role A Founding Engineer working primarily on the new AI CFO agent, with tech-lead-level autonomy from day one. The current dev team is small (both current developers are ex-HFT). Time split is roughly 75% new AI-agent work / 25% existing lending infrastructure. Primarily backend Python with TypeScript frontend exposure. No customer-facing work or formal product ownership expected. Tech stack: Python (backend — APIs, async, databases, cloud deployment); TypeScript (frontend); LLM tool-calling / agentic systems. Requirements • 0–5 years of engineering (hard cap at 5), • An excellence signal: a notable startup, big tech, or a top-university CS background, • Python backend fundamentals, • AI-native: Claude Code, Codex daily, • A self-motivated tech lead who ramps fast, • NYC in-personNice to Haves, • A notable startup or big-tech background (high-clout internships count), • A top-university CS or technical degree paired with active engineering signal (GitHub, side projects, hackathon wins), • A quant or HFT engineering background (matches the existing team profile), • AI-native daily usage of Claude Code, Codex, or comparable, with strong opinions on agent tool design, • A socialized, high-energy engineer genuinely excited about the productWhy Join, • Outsized ownership: no dedicated product person — whoever joins shapes what gets built and how, with tech-lead autonomy from day one, • A real data moat: the lending business supplies deep financial data, direct customer relationships, and the real-world workflows the agent automates, • Frontier agent work: ~75% of time on a self-improving AI CFO agent, ~25% on the lending infrastructure underneathDetails, • Location — New York City, NY, • Work policy — On-site, • Compensation — $175,000–$250,000 + meaningful equity, • Visa sponsorship — Not available, • Employment type — Full-time

Job Description Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools our first responders rely on. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. We are seeking experienced and innovative Staff Engineers who have shipped software at an enterprise scale to come and help build the next generation of cloud-based public safety software. As a senior member of the Mark43 team, you'll take ownership of projects and features from start to finish and be a knowledgeable resource to your teammates. You'll build robust server-side solutions to our unique problems of scale, security, and reliability. We heavily leverage technologies like Java, MySQL, Redis, and Elasticsearch and enjoy participating in the open source community. As an engineer here, you'll have the freedom to implement your own solutions and have a meaningful impact on our product. We will depend on your strong systems architecture design and technical decision-making in building our products from the ground up. This role offers tremendous career growth opportunities on either a management or Technical Lead track. What You'll Do If you were a part of our team, here are some things you would have done last week: • Worked with a Product Manager to understand requirements for a new feature, • Built and deployed features using popular technologies including Java, MySQL, Redis, and Elasticsearch, • Improved the architecture of a back-end area of the platform to meet the velocity needs of our growing customer base, • Met with a Product Designer to explain technical constraints for a specific feature, • Written clear, concise technical documentation to accompany your code, • Tested a new technology or took some action to improve our codebase and engineering practices, • Nurtured an engineering culture that cares deeply about both code quality and delivering quickly for our customers What You'll Need We are seeking engineers with at least 10 years of professional experience using Java, .NET, or other server-side languages in production. You should be comfortable practicing Agile development and thoroughly testing your own code. Our codebase is large and complex, so we expect you to write clean code and concise documentation to help other engineers understand your contributions. Experience developing features for the cloud, as well as the ability to delve into the front-end stack (JavaScript, ReactJS), is a big plus! The following types of experience are highly important: • Deep understanding of databases, automated testing, and Agile methodologies, • Proficiency building and managing RESTful APIs, • Deep experience designing and building out infrastructure for complex cloud-based software applications, preferably hosted in AWS or Azure, • Knowledge of, or experience with microservices architecture, • Commitment to providing support for more junior members of the team and developing cooperative working relationships, • Leaning in to contribute to the company outside your role — our engineers have written blog posts, attended events, and helped grow our team People who thrive on our team also tend to share the following characteristics: • Humble, open, and curious. You recognize that no one is perfect, and you're excited about listening and learning., • Attentive, active listeners. You're interested in what others have to say and illustrate your interest with your actions., • Resilience. You do not shy away from challenging work, and you proactively help your team solve problems., • Enthusiastic collaborators. You understand that the best outcomes are achieved through shared ownership and seek to spread knowledge and expand participation rather than restrict it., • Comfortable with uncertainty. You know that sometimes problems can't be simplified or fully understood and are at ease working within this type of haziness., • Passionate about personal growth. You view mistakes as opportunities for learning, and want to grow as a designer, colleague, and person. We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a target base annual salary range of $180,000 - $240,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k plan. Please note that the higher end of this range will be reserved for candidates with appropriate experience who reside in high cost labor markets. Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. The Opportunity Arlo quotes small businesses using AI-powered underwriting, and the quality of that underwriting is only as good as the data beneath it. We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual contributor role. You'll sit at the boundary between data engineering and data science, working directly with underwriting, pricing, and analytics teams to ensure the right data reaches the right systems at the right time. What You'll Work On Pipeline development and maintenance Build and maintain ingestion pipelines for complex, heterogeneous data sources — TPA feeds, carrier data, census files, claims, eligibility, and enrollment records Design and implement dbt models and transformation logic that produce clean, reliable "source of truth" tables used across underwriting, pricing, and reporting Own pipeline orchestration using tools like Dagster or Airflow, ensuring reliable scheduling, retries, and alerting Data quality and observability Build monitoring and alerting for data inconsistencies: duplicate records, mismatched member IDs, enrollment timing gaps, and carrier reporting lags Profile ingest delay characteristics across live policy data and flag where structural latency introduces systematic bias Maintain clear documentation of known data quality limitations so downstream teams know what the data can and cannot reliably support Collaboration with data science Partner closely with the data science team to build and maintain feature pipelines that feed underwriting and pricing models Support feedback loop infrastructure that carries post-quoting learnings back into upstream models Work with engineering to prioritize data quality fixes and accelerate resolution of upstream issues What We're Looking For 3–5 years in a data engineering or backend engineering role with significant data pipeline ownership Proficiency in Python and SQL; comfortable writing production-quality code in both Hands-on experience with pipeline orchestration tools (Dagster, Airflow, Prefect, or similar) Experience with dbt or equivalent transformation frameworks Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases Track record working with messy, real-world datasets and building systems that handle inconsistency gracefully Strong instincts around data quality — you catch problems before they reach downstream consumers Nice to have Background in health insurance, claims data, or actuarial/TPA data environments Experience supporting ML feature pipelines or working alongside data science teams Familiarity with MLflow or similar MLOps tooling Exposure to healthcare data standards or sensitive regulated data environments How You'll Work You'll own your projects end-to-end — from initial scoping through to production deployment and ongoing monitoring. There's no separate ML engineering handoff; you'll work directly with the people who depend on your pipelines daily. The role requires equal comfort in Python-based engineering and SQL-driven analysis, and a genuine interest in understanding the business context behind the data. Interview Process Intro call with our recruiter Resume interview with an Arlo co-founder Technical take-home challenge (data engineering problem) Onsite (or virtual): technical review + behavioral/cultural interviews Compensation $180,000 - $220,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - Crypto - this is an onsite role in New York or London. As a Backend Engineer, you will play a critical role in building and scaling our real-time data infrastructure at the forefront of crypto and social finance. You'll work on high-throughput data pipelines, analytics systems, and storage solutions in an environment where speed, ownership, and innovation are paramount. Architect, build, and ship high-performance data solutions at speed, contributing directly to the growth of the world's largest crypto social network Work across the data stack, from streaming pipelines, data modelling, analytics databases, and real-time processing systems Rapidly prototype and iterate on new data features, balancing speed with quality in a fast-moving environment Solve complex technical challenges around data consistency, performance, and scale in a space where innovation and efficiency are the upmost priority Collaborate closely with a world-class team of engineers and product leaders to push boundaries and redefine what's possible Take full ownership of your work, from initial concept to production deployment and maintenance Who You Are An engineer with strong experience in any of: backend systems, data engineering, distributed systems, or high-performance computing Passionate about building highly-performant, scalable platforms that handle massive data volumes and enable real-time insights Experience with databases, streaming systems, or analytics platforms (e.g. ClickHouse, TimescaleDB, or similar columnar/time-series databases) Knowledge of Rust, Go, or other systems programming languages A problem solver who thrives in ambiguity, quickly breaking down challenges and executing solutions High-agency and ownership-driven, capable of leading features end-to-end with minimal guidance Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter Excited to work alongside top-tier engineers and contribute to a platform that's redefining how people interact with crypto Familiarity with crypto, DeFi, or blockchain technologies (nice to have) Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection - ship now, iterate later Ownership over bureaucracy - every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we

Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The RoleTurn friction into flow. At TixTrack, our product sells tickets at scale and absorbs major traffic spikes during big onsales. The kind of spikes that come with major Broadway events like Hamilton. Behind it is a platform we're investing in like a product in its own right: paved roads over mandates, reliability engineered in rather than bolted on, and teams that own their services end-to-end. We're hiring a Senior Platform Engineer to help build that platform. Not just to close tickets or gatekeep infrastructure; but to build the deployment systems, reliability practices, and developer workflows that let product teams move faster, safely, with confidence. If you think in terms of teams enabled rather than tickets closed, you'll fit right in. The Platform Engineering team builds the systems, tooling, and operational standards that enable product teams to deliver software safely, frequently, and independently as our grows. The Senior Platform Engineer is responsible for contributing as part of this team, helping to lead the design, scalability, reliability, and operational excellence of our platform infrastructure and core services. This role partners closely with Engineering, Product, and Cybersecurity to architect and evolve systems that support a highly available, secure, and resilient multi-tenant SaaS environment. As a senior individual contributor, the Senior Platform Engineer applies advanced reliability and systems engineering principles to production environments, influencing architectural decisions and long-term platform strategy. This role balances speed of delivery with operational maturity, ensuring the platform scales effectively while maintaining high standards of performance, security, and uptime. This position reports to the Platform Engineering Manager. This position is full-time and fully remote. Candidates must be located in one of the following states: New York, New Jersey, Connecticut, California, Oregon, Utah, Tennessee, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, and South Carolina. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You You’ve spent 6+ years in Platform Engineering, SRE, DevOps, or Infrastructure Engineering within SaaS. You have hands-on production cloud infrastructure experience within distributed systems. Azure preferred; AWS/GCP welcome. You’ve rolled out agents and AI powered workflows in an engineering organization. You can speak to how you measured adoption and evolved them. You consider production observability in every conversation about performance you have. You seek to measure & collect data. You have a customer-service mindset toward the engineers you serve. You are a paver of roads, not a gatekeeper. You reason about cost/speed/safety tradeoffs out loud. What You'll Do Design, implementation, and evolution of reliable, scalable platform infrastructure supporting our SaaS products and APIs. Partner with Engineering teams to evolve platform architecture over time, supporting safe system decomposition, scalable service boundaries, expand-and-contract migrations, versioning and deprecation lifecycles, and fleet-wide upgrades. Architect and maintain infrastructure-as-code frameworks and automation standards to ensure consistency and repeatability across environments. Establish observability as a default platform capability by ensuring standardized metrics, logs, traces, alerting, and dashboards are automatically available for new services, and continuously refine these practices to proactively detect and resolve system issues. Own and improve incident response frameworks, root cause analysis processes, and post-incident reviews, driving systemic improvements. Define and guide service level objectives (SLOs), service level indicators (SLIs), and error budgets to support reliability-driven decision-making. Partner with Engineering teams to embed reliability, operability, and scalability considerations into system architecture and deployment workflows. Lead improvements to CI/CD pipelines, progressive delivery practices (canary releases, blue/green deployments, and feature flags) and platform tooling to increase developer velocity and make frequent deployments routine and low-risk. Drive capacity planning, performance optimization, and scaling strategies to ensure platform readiness for growth and peak usage. Collaborate with Security and Engineering leadership to ensure platform resilience, data protection, and compliance best practices are embedded in infrastructure design. Provide technical leadership and mentorship to engineers across teams, influencing platform standards and architectural best practices. Contribute to documentation, operational standards, and runbooks to ensure consistency and knowledge sharing. Participate in on-call rotations and provide production support as needed to maintain system uptime and reliability Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 6+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related roles within a SaaS environment. Demonstrated experience designing and supporting highly available, production-grade cloud infrastructure. Deep experience with cloud platforms (Azure preferred), networking, and distributed systems architecture. Strong experience with infrastructure as code, automation frameworks, and CI/CD pipeline design. Experience supporting multi-tenant SaaS systems with high availability, uptime, and performance requirements. Experience with containerization and orchestration technologies (e.g., Kubernetes). Experience leading complex technical initiatives or serving as a senior technical advisor across engineering teams. Essential Skills Strong systems-thinking and architectural judgment, with the ability to design scalable, resilient solutions. Advanced troubleshooting and root cause analysis skills across distributed systems. Ability to influence technical direction without direct authority. Strong written and verbal communication skills, including the ability to document architecture decisions and operational processes. Ability to balance long-term platform strategy with short-term business priorities. High level of ownership, accountability, and attention to detail. Ability to work independently while collaborating effectively across Engineering, Product, and Cybersecurity teams. Commitment to operational excellence and continuous improvement. Tools You’ll Use Slack Jira Confluence GitHub Visual Studio Code / IDE Datadog What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer Base annual salary range of $145,000 - $165,000, commensurate with experience. Eligibility for annual bonus based on performance and company success 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) Company-paid life insurance Traditional and Roth 401k plans Paid parental leave Learning & development opportunities with company reimbursement for eligible educational expenses Working abroad opportunities Volunteer days off Flexible scheduling Up to $300 reimbursement for initial equipment to set up hybrid work environment Generous PTO and holiday schedule Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing accommodations@tixtrack.com.

Job Description Brooklyn, NY · Hybrid (strong in-person preference) · Full-time Compensation: $160,000–$220,000 + 0.1%–0.5% equity About the Company Our client is an AI-native platform automating the entire wholesale order-to-cash lifecycle for CPG brands — replacing spreadsheets, email chains, and manual data entry with autonomous workflows spanning purchase-order ingestion, freight coordination, invoicing, and payment reconciliation. Wholesale is roughly 7x the size of e-commerce, yet the infrastructure is decades behind; the client is building the agentic operating system for it. The product is live with fast-growing CPG brands and has processed $500M+ in annualized wholesale volume. Founded 2026 · 1–10 people (Seed) · Industry: AI Tools / supply-chain automation The Role The client is hiring a Founding Full Stack Engineer to own the core platform powering its AI agents and customer experience. The moat isn't the model — it's the scaffolding: the software infrastructure that connects AI to real-world systems (ERPs, 3PLs, retailers, freight partners) with real-world reliability. Downtime means missed shipments and chargebacks for real brands, so the stakes — and the ownership — are real. Tech stack: TypeScript, Node.js, Postgres, React (Supabase / Next.js a plus). Requirements • 2 to 5 years of software engineering, ideally including time at a high-agency startup where you owned product work end to end, • Strong proficiency in TypeScript and Node.js, • Postgres for data modeling and query performance, • Full-stack capability, including React for customer-facing product surfaces, • Comfortable with event-driven patterns — webhooks, async workflows, integrations that keep external systems in syncNice to Haves, • A big-tech-then-startup arc: left a FAANG or scaled company to join something early and shipped real product ownership there, • A background in logistics, supply chain, freight, or CPG-adjacent software (e.g., Flexport is a clear signal), • Has built mission-critical backend systems where reliability and observability actually mattered, • Experience with AI-agent infrastructure or event-driven pipelines in production, • A customer-facing engineering instinct — talks to users and cares about both developer and operator experienceWhy Join, • Real founding-engineer ownership: own the core platform powering the AI agents and customer experience, working directly with the two co-founders every day, • Live product, real traction: already live with fast-growing CPG brands and $500M+ in annualized wholesale volume, • A greenfield market: wholesale is ~7x e-commerce but stuck on 1990s infrastructure — a genuinely under-built market in which to define the agentic OSDetails, • Location — Brooklyn, NY, • Work policy — Hybrid (strong in-person preference most of the week), • Compensation — $160,000–$220,000 + 0.1%–0.5% equity, • Visa sponsorship — Not available, • Employment type — Full-time

Job Description Team: Growth Reports to: Nick Coetzee, VP (Growth, Operations) Location: New York City preferred (hybrid: Tuesday–Thursday in office). Exceptional remote candidates will be considered. Compensation: $175K–$200K base salary; $200K–$240K target total cash compensation About Axial Axial's mission is to unleash the power of private capital markets for entrepreneurs by pioneering an online platform that's transforming American small business M&A. Founded in 2009, Axial serves over 10,000 private M&A market participants - including private equity firms, corporate acquirers, boutique investment banks, and business owners looking to sell their companies. In 2025, Axial powered the exit efforts of about half of the U.S. small and mid-sized business (SMB) M&A market - companies doing between $5M and $100M revenue - by facilitating 1,000,000+ buyer <> seller platform connections across 12,500+ deals. We're a lean, high-conviction team building category-defining products for a market that moves quickly and trusts carefully. That context shapes everything about how we work. About Growth @ Axial Axial is the most recognized brand in the M&A deal platform space, with a large and established online presence built over 15+ years. But the way people discover, evaluate, and engage with products, services, and information is changing quickly - driven by AI, evolving search behavior, and rising expectations for useful, data-rich digital experiences. That creates a significant opportunity for Axial: to build on our existing authority while rethinking how we attract, educate, and convert the next generation of business owners, buyers, and M&A professionals. Our growth engine is predominantly focused on inbound, organic demand generation channels, including: • SEO & AEO: Growing visibility across traditional search engines and AI-powered answer engines, • Website Conversion: Using agile, experimental, and data-oriented approaches to convert more visitors into qualified leads and members, • Free Tools & Data Products: Building calculators, market intelligence products, and other useful resources for our core audiences, • Content & Media: Two newsletters, a blog, social media, e-books, and a podcast, • Product-Led Growth: Developing product- and member-driven strategies that strengthen acquisition, engagement, and network growth Unlike Growth PM roles focused on a single funnel or product area, this person will help shape nearly the entire top of Axial's growth engine. Our roadmap combines big, high-conviction bets with a steady stream of incremental optimizations. We want someone who can develop a clear point of view on the right portfolio of both, and then translate that perspective into well-scoped, measurable, and excellent releases. The Role We're looking for a Growth Product Manager to own Axial's website products and broader digital growth roadmap - including our website, free tools, data products, and demand generation experiences across our core audiences. This is an individual contributor role with substantial ownership, broad cross-functional exposure, and a mandate spanning strategy, execution, and measurement. Responsibilities: Acquisition & Business Outcomes: Own growth across three core outcomes: total qualified leads, business owner acquisition, and buyer acquisition. Success will be measured through audience expansion, qualified leads, new member growth, and the reach and utility of Axial's proprietary market intelligence as a driver of those outcomes. Website & Growth Product Execution: Own the end-to-end execution of Axial's website and growth product roadmap - from scoping and coordination through QA and launch. SEO, AEO & Conversion Rate Optimization: Drive organic traffic and conversion through SEO, AEO, and on-page optimization across programmatic and editorial experiences. Experimentation & Measurement: Establish clear measurement plans for experiments and releases by defining success upfront, monitoring performance after launch, and diagnosing results. Maintain a recurring analytics practice across traffic, conversion, acquisition, and engagement, and use those insights to shape future priorities. Growth Strategy & Roadmapping: Develop a clear point of view on Axial's most important growth opportunities and translate it into focused quarterly roadmaps. Balance big, high-conviction bets with a steady stream of incremental optimizations, pressure-testing priorities with leadership and our retained growth consultant. AI-Assisted Building: Use AI-assisted development tools to independently prototype, build, and launch pages, tools, experiments, and lightweight features. Apply AI across copywriting, design iteration, data analysis, prototyping, and QA to improve both the quality and velocity of your output. Growth Technology & External Resources: Own the tools, platforms, and AI infrastructure that power our growth work, including analytics, experimentation, SEO tooling, and AI-assisted development. Evaluate where to invest, consolidate, or cut, and manage freelancers, consultants, and service providers as high-quality extensions of the internal team. Cross-Functional Leadership: Serve as the connective tissue across design, growth engineering, and content. Ensure development aligns with scope, scope aligns with strategy, stakeholders remain informed, commitments stay on track, and important details do not get overlooked. What Great Looks Like You're a genuine thought partner. You proactively identify bottlenecks and growth opportunities, share your opinions, and contribute deliberately to longer-term strategy and quarterly roadmaps. You move quickly without being sloppy. You know when to act on a high-confidence decision and when a bigger bet warrants more deliberate thinking. You don't let perfect become the enemy of shipped. You communicate proactively and clearly. In writing, in Slack, and in a room, you adapt your style to the audience, give specific feedback, and keep the people around you informed. You operate with rigor and attention to detail. You catch edge cases, inconsistencies, and copy that doesn't quite land. Projects have clear scopes, dependencies, owners, deadlines, and follow-ups. You care. You bring energy and curiosity to Axial's mission, products, subject matter, and the audiences we serve. Background We're Looking For There is no single path to this role. We care more about demonstrated ability, judgment, and quality of execution than perfect pedigree. That said, we've found the following backgrounds tend to predict success: • Career Growth / Website Product Managers, • Growth / Product Marketers turned Product Managers, • Ex-BizOps professionals who've migrated toward Product Management, • Ex-consultants who transitioned in-house into product management or growth roles heavily focused on demand generation Specific things we'll look for: • 6 - 10 years of professional experience, including 4+ years in relevant roles at high-growth technology companies, • Evidence of meaningful contributions to demand generation, including experience shipping web products that increased traffic, conversion, or other measurable growth outcomes, • Comfort using AI tools to accelerate your own output, • Strong written communication and consistently high-quality deliverables, • A track record of clean cross-functional execution, with engineers and designers who loved working with you, • Analytical fluency: you can read a dashboard, diagnose a trend, and design a measurement framework, • Domain knowledge in M&A, private equity, or financial services is a plus, but not required. Experience serving business owners, investors, or other sophisticated professional audiences may also support strong strategic intuition. The Stakeholders You'll Work With • Senior Growth Engineer, • Senior Designer, • Marketing Operations Associate, • Content Marketing Manager, • Retained Growth Consultant, • Product Marketing Consultant You'll report directly to the Head of Growth and work closely with this cross-functional group. Our retained consultants will serve as additional thought partners on strategy, analytics, and product direction. Working at Axial Axial combines the scale and market position of an established, profitable company with the ownership, visibility, and upside of a smaller team entering an important phase of growth. We're a tight-knit team of 65 intellectually curious people who collaborate closely, work hard, and pursue ambitious goals with a high standard of excellence. Every Axialite is trusted to uphold five key traits: positivity, grit, humility, discernment, and accountability for results. This person will help shape what comes next—working directly with leadership, influencing important parts of the growth strategy, and having an outsized impact on how entrepreneurs and M&A professionals discover and use Axial. Our Values • Be an Owner: Take ownership for your work, operate with transparency, and focus on delivering results, • Expect and Deliver Excellence: Do high-quality work consistently, and expect it from your colleagues, • Communication Matters: Be an excellent communicator, listener, and collaborator with teammates and members, • Invent and Simplify: Stay creative and curious, always looking for better ways to improve the quality and scalability of the member experience, • Obsess over Member Trust: Work in a way that helps Axial consistently earn, grow, and keep member trust — we're working on life-altering, confidential transactions Benefits • Robust medical, dental, and vision insurance, paid for by Axial, • 401k program, • Flexible vacation policy (minimum 15 days encouraged), • Health & wellness reimbursement program, • Pre-tax commuter programNY Pay Range$200,000—$240,000 USD

Job DescriptionPosition Summary: MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K Responsibilities: You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence. • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks, • Build and optimize ClickHouse ingestion pipelines (batch + streaming), • Develop transformations for structured and semi-structured data, • Optimize SQL Server and ClickHouse queries for performance and scalability, • Improve data models, partitions, and materialized views in ClickHouse, • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs), • Monitor pipeline performance and ensure low latency + high reliability, • Implement data quality checks, error handling and lineage tracking, • Partner with BI teams to support dashboards (Power BI, etc) Must-Haves (Non-Negotiables): We are targeting candidates who already have strong, hands-on experience in the following: • ETL tools: Azure Data Factory, SSIS, Databricks, • Strong SQL skills (writing, optimizing, and troubleshooting complex queries), • Experience working with ClickHouse (schema design, ingestion, optimization) Experience with cloud environments (Azure perferred) • Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit. Nice to Have: • Experience with streaming data (Kafka, Event Hubs), • Exposure to big data frameworks, • Understanding of DevOps/Data pipeline deployment practices, • Experience supporting BI tools (Power BI, Tableau) What Success Looks Like:, • You can independently build and optimize ETL pipelines, • You understand how to make data systems faster, cleaner, and scalable, • You're comfortable working across engineering, analytics, and business teams, • You proactively identify performance issues and fix them Powered by JazzHR z5WzGaZEBy

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description Strong Java Developers and Leads, that have strong problem-solving skills. Payment Tech Software Engineer (Java): As an experienced member of our Software Engineering group, we look for engineers who are passionate about solving business problems through innovation and strong engineering practices. In this role, you will apply deep technical expertise across the full software development lifecycle and partner closely with stakeholders to stay aligned on shared goals. We embrace a culture of experimentation and continuous improvement, and you will work in a collaborative, trusting environment that values diversity of thought and customer-focused solutions. The ideal candidate is self-motivated and proactive, with strong curiosity, ownership, and the ability to troubleshoot methodically and deliver under pressure. You have experience working in an Agile SDLC, collaborating effectively within your team, and executing across cross-team dependencies with technology leads, architects, production management, business analysts, and QA. Responsibilities: Deliver creative software solutions across design, development, and troubleshooting; think beyond routine approaches to break down technical problems. Develop secure, high-quality production code; review and debug code written by others. Perform code reviews and partner with QA to develop and review test scenarios. Drive delivery of key milestones aligned to a clear roadmap and requirements. Qualifications (required): BS/BA degree or equivalent experience (Computer Science preferred). Formal training or certification in Software Engineering with 5+ years of applied experience. 8+ years of software development experience. Ability to translate functional requirements into technical designs and engineering requirements. Strong experience with Core Java, object-oriented design, RDBMS (Oracle), SQL, Spring, and No SQL. Strong understanding of Agile methodology and use of SDLC tooling to improve development and testing efficiency (Jira, Jenkins, Git, JUnit, Selenium, linting tools). Qualifications (preferred): Experience partnering effectively with technology teams and product owners to drive end-to-end delivery. Experience planning and managing Scrum teams, including facilitating Agile ceremonies, prioritizing backlogs, and enabling team delivery. Experience building secure, highly available, resilient, scalable systems leveraging clustering and load balancing across web/app servers and messaging systems (Kafka). Practical cloud-native experience. Container-based development and orchestration; microservices frameworks and tools (Docker, Kubernetes, Spring Boot, Swagger). Cloud and container-based development experience (e.g., Gaia, Kubernetes, AWS). Reactive programming experience (e.g., Spring Flux). Streaming/aggregation frameworks (Storm, Spark). NoSQL / Big Data stores (Cassandra, Elasticsearch, Cloudera stack, HBase); experience optimizing Cassandra is a plus. Banking and payments domain experience.

Job DescriptionCompany Description 1 yr Contract Full-Time, On Site Relocation Required (Englewood Cliffs, NJ until 9/2026, Plano, TX effective 10/2026) Pay Rate: ~$10,190/mo DOE We are looking for a mid‑level engineer to build and operate a data platform that uses Apache Iceberg as the lake‑house table format and Docker‑based micro‑services (Spark, Flink, Presto, etc.). You will own the end‑to‑end delivery pipeline, monitoring, security, and incident response, ensuring the platform runs reliably at scale. Job Description • Iceberg operations: support tables, manage schema changes, partitions, snapshot retention, and keep the catalog (Hive Metastore, AWS Glue, Nessie, …) synchronized., • Docker image creation & testing: write multi‑stage Dockerfiles for Spark/Flink/Presto, run local test environments with Docker‑Compose, and conduct vulnerability scans (Trivy, Snyk, …)., • Data pipeline development: build ETL/ELT jobs that ingest raw data and write to Iceberg tables; add simple streaming components using Kafka, Pulsar, or Kinesis when needed., • CI/CD automation: configure pipelines (GitHub Actions, GitLab CI, Azure DevOps, …) to lint Dockerfiles, scan images, version Iceberg metadata, and deploy pipelines without downtime., • Automation with Ansible/Python: script cluster provisioning, catalog configuration, vacuum/compaction, and other routine housekeeping tasks., • Observability: instrument services with OpenTelemetry, Prometheus, Grafana, and Loki; create dashboards showing pipeline latency, resource usage, table health, and error rates; set up basic alerts., • SLA monitoring: measure data freshness, job success rates, and query response times against agreed‑upon targets and report deviations., • Incident response: join the on‑call rotation, perform first‑line diagnosis and resolution of pipeline failures, Iceberg metadata issues, or container crashes; write concise root‑cause analyses and suggest improvements., • Security & compliance support: help enforce image signing, mTLS, IAM roles, and bucket policies; collaborate with the security team to meet GDPR, HIPAA, or ISO 27001 requirements., • Knowledge sharing: keep internal documentation up to date and run short tech demos or brown‑bag sessions on Iceberg, Docker best practices, and automation techniques.Qualifications Requirements • Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field (Master’s a plus)., • ~5 years of hands‑on experience building and operating large‑scale data platforms (lake‑house, data‑warehouse, or big‑data ecosystems)., • Proven production experience with Apache Iceberg (table creation, partition management, schema evolution, catalog integration)., • Strong Docker skills: multi‑stage builds, Docker‑Compose testing, routine image security scanning., • Experience with at least one major data‑processing engine (Spark, Flink, or Presto/Trino) and its connection to Iceberg tables., • Proficiency in Python and/or Ansible for automating infrastructure and platform tasks., • Experience building CI/CD pipelines that include Docker linting, vulnerability scanning, and automated deployment of data‑pipeline code., • Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry, Loki) and ability to create useful alerts and dashboards., • Ability to respond to incidents, write clear root‑cause analysis reports, and contribute to post‑mortem actions., • Willingness to participate in an on‑call rotation as a first‑line responder., • Availability to work on‑site in New Jersey for the initial assignment and relocate to Dallas by October 2026. Preferred Qualifications • Experience with cloud‑native data services on AWS, Azure, or GCP (EMR, Dataproc, Synapse, etc.)., • Familiarity with other lake‑house formats such as Delta Lake or Apache Hudi and ability to evaluate trade‑offs against Iceberg., • Knowledge of streaming platforms (Kafka, Pulsar, Kinesis) and real‑time processing patterns., • Relevant certifications (Databricks Lakehouse Associate, Google Professional Data Engineer, AWS Certified Data Analytics – Specialty, etc.)., • Background supporting data platforms in regulated industries (pharma, finance, healthcare) and understanding of associated compliance frameworks. Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future Job Description We are looking for an experienced network engineer to focus on our corporate end-user networks and end-user experience. You will be the driving force behind our office LAN and wireless infrastructure, ensuring that from the moment an employee opens their laptop, their connection is fast, secure, and rock-solid. In this role you will work with end users, NOC and network engineering, and the End User Experience Team including local IT, to proactively monitor end-user network experience, supporting local and remote user issues, and advocate for end-user needs. Upcoming project work includes assisting with the migration to new VPN models and solutions, so familiarity with next generation firewalls and access models is a big plus. This position will be hybrid, with the expectation you will typically work three days a week in our flagship Manhattan office, and act as a liaison for senior management who work there. Critical skills include: Exceptional interpersonal skills. You will bridge the gap between end users and core network engineering, act as an escalation point for NOC and helpdesk issues, and communicate network maintenance and changes Managing our corporate Wi-Fi networks. Take ownership of the wireless experience, so vital skills include tuning access points, addressing RF issues, and monitoring capacity Mid-to-senior level network administration experience, including core networking, routing protocols, DNS/DHCP Excellent troubleshooting skills Experience with authentication protocols: 802.1x, NAC, RADIUS, EAP-TLS, etc. and an understanding of considerations for their use Helping with company-wide firewall refresh project, including migrating end user VPN solutions and strategy. Experience with SD-WAN, SASE, ZTNA is a big plus. Vendors: Familiarity with Cisco, Meraki and Palo Alto or Fortinet. Qualifications • Works proactively, communicates with internal customers and peers, reports problems and suggests improvements., • Advocates across infrastructure teams, moderately-sized projects inside the team., • Communicates complex concepts; anticipates potential objections and influences others to adopt a different point of view, • Requires depth and/or breadth of expertise in network engineering, experience working with leadership, and general knowledge of related areas, • 10-15 years, recognized expertise in a specific area., • Bachelor’s degree or equivalent experience; specialized certification is a plus. Additional Information Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Description Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet. Rumble Cloud is building a self-service cloud platform that gives customers and internal teams powerful, reliable infrastructure with a straightforward, intuitive experience. As a Senior Software Architect, you'll define and evolve the architecture for our Self-Service Cloud Portal, Cloud Console, and the broader set of services that support them - including APIs, billing and account management, provisioning and automation, and new product surfaces as they emerge. This role blends architectural leadership with sustained, hands-on coding. You'll set technical direction across services while personally contributing large volumes of clean, production-quality Python, and you'll help connect backend Python services, Go microservices, and React/TypeScript frontends into a coherent, well-structured system. It's not a management role, but you will influence priorities, mentor engineers, and keep the team aligned on patterns, standards, and trade-offs. You'll work closely with product, DevSecOps, cloud infrastructure, and application engineering teams to turn requirements into architectures, epics, and delivery plans. If you enjoy designing distributed systems, care deeply about API and data model quality, and want to stay deeply involved in the code while steering the platform's direction, this role is designed for you. Responsibilities • Define and document the architecture, standards, and technical roadmap across the Self-Service Cloud Portal, Cloud Console, and other current and future services., • Contribute a large, sustained volume of production Python code for core backend components, focusing on clarity, reliability, and maintainability., • Design and implement RESTful APIs and backend services, including authentication and authorization flows (OAuth2 / OpenID Connect) and multi-tenant patterns., • Integrate backend Python services with Go microservices and React/TypeScript frontends, ensuring consistent contracts, error handling, and performance across layers., • Shape data and persistence layers, including relational schemas, ORM models (e.g., SQLAlchemy), and patterns for usage metering, billing, account management, and provisioning., • Synthesize product requirements into epics, tickets, and delivery plans, and help establish SDLC and CI/CD practices that keep releases predictable and safe., • Collaborate with the DevSecOps Engineer on SSDLC and secure design decisions, ensuring security is integrated into architecture and planning while DevSecOps owns and operates the SSDLC pipeline., • Mentor engineers through design reviews, pairing, and code reviews, and communicate architectural trade-offs and decisions to both technical and non-technical stakeholders., • Work closely with cloud and platform teams to align application architecture with OpenStack, Ceph, and Kubernetes capabilities and constraints., • Continuously refine patterns, libraries, and conventions to reduce complexity, improve reliability, and make the codebase easier for the team to work with over time.Qualifications, • Expert-level Python for API and backend development, including experience with frameworks such as FastAPI or Flask, and libraries like SQLAlchemy and Jinja2., • Strong experience designing and consuming RESTful APIs, including authentication and authorization with OAuth2 and OpenID Connect., • Experience architecting distributed systems or service-oriented architectures at production scale, with attention to reliability, observability, and evolvability., • Solid relational database skills (PostgreSQL, MySQL) including schema design, query optimization basics, and ORM modeling., • Proficiency with Docker, Kubernetes, and Git-based CI/CD workflows for building, testing, and deploying services., • Strong communication and mentoring skills, with the ability to lead architecture discussions and explain trade-offs clearly.Preferred Qualifications, • Hands-on Go (Golang) experience to contribute to and review backend services., • Experience with React and TypeScript for collaborating effectively on frontend architecture and implementation., • Familiarity with OpenStack APIs and ecosystem, and with Ceph or other distributed storage systems., • Background in multi-tenant SaaS, including tenant isolation, usage metering, and self-service provisioning models., • Experience with Odoo ERP/CRM or open-source cloud console/dashboard projects., • Test-driven development with Pytest, and experience building public cloud or IaaS products. Annual Compensation Range: $165,000 - $190,000 USD base + benefits + equity (If based in the United States) $145,000 - $175,000 CAD base + benefits + equity (If based in Canada) Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization. Why Our Team Loves Working Here: • We are making a significant financial impact for our video creator community; we're proud of their success stories, • We enjoy challenging the status quo and going head-to-head against Big Tech, • We aren't afraid to try new things; we act fast and want to win, • We pay competitive salaries and provide great benefits EEO Statement: Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program. Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We're looking for a Frontend Engineer to join the Care Platform Clinical Workflows team at Ro. In this role, you'll design, build, and maintain purpose-built provider flows — the web interfaces clinicians use to deliver care — engineered to drive the best possible patient outcomes while making the most efficient use of a provider's time. You'll help shape the technical roadmap and own initiatives from ideation through design, implementation, and maintenance. You'll partner closely with product, design, data, and clinical teams to translate complex clinical processes into intuitive, reliable, and compliant experiences that help Ro scale care delivery for millions of patients. What You'll Do • Drive the architecture, design, and implementation of new provider flows that power Ro's clinical workflows, • Build visually engaging, intuitive interfaces that help clinicians deliver care efficiently and safely, and help patients seamlessly achieve their health goals, • Operate as an owner within your team's domain, proactively assessing and improving application performance, accessibility, and reliability, • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Actively contribute to the team's architectural vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure consistent application of best practices across the frontend platform, • Work closely with product, design, data, and clinical stakeholders to build the best possible experiences for our providers and patients, • Participate in on-call rotations to ensure the reliability of production systemsWhat You'll Bring to the Team, • Demonstrated experience building accessible, visually engaging web applications with an eye for intuitive user-facing experiences, • Proficiency with React and TypeScript, plus a strong grasp of UI architecture, and client-side performance, • Comfort working at scale in a Turborepo monorepo with a shared design system — styled-components, TanStack Query, React Aria, and Playwright/Storybook-driven testing (strong fundamentals matter more than prior experience with our exact stack), • Hands-on experience with metrics instrumentation and data-driven performance tuning, using qualitative user feedback and quantitative analytics to identify opportunities, • A strong sense of ownership for your work, from initial technical design and implementation through to monitoring for issues and opportunities after shipping, • Demonstrated ability to collaborate with engineers, product managers, and product designers to create the best possible products, • Genuine care for the user experience, and the ability to quickly assess the right solution to achieve product and design goals in an elegant mannerBonus Skills, • Experience in telehealth or other highly regulated industries, • Experience building complex, multi-step workflow or form-driven interfacesWe've Got You Covered, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing, • Virtual resources for mindfulness, counseling, and fitnessThe target base salary for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practices The ideal candidate has: • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in SQL and Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPPA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $166,000 - $205,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake), • Expertise with SQL tuning, Spark development, medallion and event-driven architectures., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:, • Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.