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Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Golang, Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer (AI Foundations) 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. 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. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job: Professional Coder I Duration: 6+ Months Location: Newark, NJ 07105 Pay Rate: $40 - $42/hr on W2 Job Description: Summary: This position is accountable for accurately reviewing, interpreting, auditing, coding and analyzing medical record documentation for diagnosis accuracy, correct documentation, and Hierarchical Coding Condition (HCC) abstraction. Review may include inpatient, outpatient treatment and/or professional medical services, according to ICD-9/ICD-10 CM coding guidelines and risk adjustment model regulations. This position supports Annual Commercial (ACA) and Medicare Advantage Risk Adjustment Data Validation Audits (RADV) along with the annual Risk Adjustment life cycle for the Medicare, Medicaid, and Commercial lines of business. Responsibilities: • Can understand and translate CPT, HCPC, ICD-9/ICD-10 codes for HCC abstraction., • Review medical records for completeness, accuracy and compliance with applicable coding guidelines and regulations., • Identify, compile and code member/patient data, using ICD-9/ICD 10-CM and other standard classification coding systems., • Support the collection and distribution of documentation and coding improvement tools for designated practice units as applicable., • Support educational activities for internal stakeholders as necessary as subject matter expert on coding review/guidelines., • Actively participate & engage in program improvement discussions and activities., • Maintains department productivity and accuracy standards. Qualifications: • Requires current Registered Health Information Technologies (RHIT) or Certified Professional Coder designation from the American Academy of Professional Coders or a Certified Coding Specialist , P from the American Health Information Management (AHIMA), • Requires 2 - 5 years of Medical Coding experience, • Requires a minimum of 2 years’ experience in Health Insurance/quality chart audits and/or Utilization Review, • Bachelor's degree preferred Knowledge Requires proficiency in the CPT-4, HCPC, ICD-9/ICD-10 coding Requires knowledge of medical terminology of medical procedures, abbreviations and terms Requires knowledge of the health care delivery system

Job title: • Quantitative Researcher (Systematic Equities). Salary: • Up to £350,000 starting base + industry-leading guaranteed bonus and package., • TC of up to £1M+ GBP in annual compensation. Location: • Chicago/New York/London., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

We have an immediate opening for a Advent Geneva Project Manager with a leading IT Service Consulting company in NY. Location: NYC,NY(Onsite 5 days) Long term Contract Job Responsibilities We are looking for an experienced Project Manager with deep expertise in Hedge Fund systems and Advent Geneva Portfolio Accounting. The role involves leading cross-functional projects spanning the front office, middle office, and back office, ensuring seamless integration and data flow across the hedge fund ecosystem. You will be responsible for driving technology and process transformation initiatives, managing system integrations, and ensuring Geneva remains the trusted source of truth for portfolio accounting and NAV reporting. Key Responsibilities Project Leadership • Lead end-to-end delivery of strategic and tactical technology initiatives related to portfolio accounting, data integration, and operational efficiency., • Partner with investment, operations, and finance teams to define business requirements and translate them into actionable project plans., • Manage project scope, budgets, timelines, and deliverables using structured PM frameworks (Agile/Waterfall as appropriate)., • Track milestones, manage dependencies, and proactively mitigate project risks and blockers., • Communicate project status, issues, and decisions to senior stakeholders through regular steering committee updates., • Coordinate with technology, vendors, and data teams to ensure quality and timely delivery. Functional Expertise – Hedge Fund Systems • Own Geneva-related initiatives — upgrades, new fund setups, configuration changes, and data integrations., • Define and manage data interfaces between Geneva and other systems such as:, • Order Management Systems (OMS) – trade capture and allocations, • Portfolio Management Systems (PMS) – exposure and performance, • Risk Systems – sensitivities, VaR, stress testing, • Data Warehouse / Reporting Layer – downstream consumption and dashboards, • Document and optimize data flow from trade capture to NAV production, ensuring data integrity and reconciliation between systems., • Collaborate with business users to validate Geneva outputs — positions, valuations, accruals, and performance reports., • Partner with Accounting and Operations to troubleshoot data and workflow discrepancies. Technical and Data Knowledge • Deep understanding of Geneva data model, including:, • Security Master attributes: ISIN, CUSIP, ticker, asset class, maturity, coupon, issuer, currency, etc., • Trade attributes: trade date, settle date, quantity, price, counterparty, commission, FX rate, etc., • Experience managing reference data and market data feeds., • Strong grasp of fund accounting principles, P&L attribution, and NAV validation., • Familiarity with data integration tools, APIs, and Geneva reporting (RSLs, Extracts, or Adapters)., • Understanding of how Geneva interacts with pricing, risk, and investor reporting systems. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

Luxoft has one of the world's leading Murex practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade and migration. We provide end-to end project services and have delivered over 200 successful Murex projects across all major asset-classes and sectors including investment banking, asset management, corporate treasury and insurance. Whether you possess a background in finance, technology or Mathematics, your experience in the capital markets industry would be of high interest to us. For Hybrid Remote work salaries from 130000-217500 USD per year dependent on knowledge and skill. Responsibilities: • Own and drive the database conversion workstream end-to-end — not just execution, but planning, issue resolution, and delivery outcomes, • Develop and own the conversion plan in collaboration with SMEs; continuously refine based on risks, dependencies, and findings, • Quarterback for different tasks and deliverables within the broader engagement, • Risk and Issue Management: Maintain RAID log; independently drive proactive risk tracking, issue resolution, follow ups, • Proactively identify data risks, dependencies, and blockers across upstream/downstream systems and drive resolution, • Own status reporting, risks, and overall delivery against committed milestones, • Escalate issues with judgment, ensuring timely visibility while maintaining delivery momentum, • Create and manage a comprehensive program plan that includes daily operational activities and all interrelated project tasks, such as UAT execution, testing results, obtaining sign-offs, and documenting evidence for Compliance Potential responsibilities: • Define and execute database migration strategy including schema conversion, data migration, and configuration transformation, • Work with infrastructure and DBA teams to validate performance, tuning, and scalability of migrated data, • Propose and implement solutions for data inconsistencies, performance issues, and migration bottlenecks, • Convene and lead working sessions across functional, technical, and vendor teams to drive conversion readiness Mandatory Skills Description: • 10+ years of experience in database migration and conversion, preferably with Oracle experience; Murex environments not mandatory but a plus, • Strong Program Management skills, experience with RAID logs and other project/program management tools is a big plus, • Proven ability to own and drive a workstream independently, including planning, execution, and issue resolution, • Ability to identify risks early, propose solutions, and drive issues to closure (not just track/report), • Experience working across cross-functional teams including infra, functional, and vendor stakeholders, • Strong ownership mindset with ability to manage end-to-end deliverables under tight timelines Not mandatory but very big plus: • Strong expertise in RDBMS concepts including schema design, data migration, and performance tuning, • Hands-on experience with Sybase to Oracle (or similar) conversion projects, • Basic knwledge in SQL, Unix/Linux, and scripting (shell, perl, awk), • Strong understanding of Murex data model, configuration structures, and database architecture, • Experience executing large-scale migration cycles including mock runs, reconciliation, and cutover, • Strong experience in defining and executing data reconciliation and validation frameworks. Nice-to-Have Skills Description: Understanding of Trade Life Cycle; Murex

Position Overview PACO Group, Inc. is seeking a Project Risk Specialist to support risk management services for the Port Authority of New York & New Jersey. The selected candidate will lead and support project risk management activities for capital and non-capital projects across Authority facilities, including risk identification, assessment, quantitative modeling, mitigation planning, reporting, and continuous improvement. This role requires strong technical judgment, effective stakeholder coordination, and the ability to translate cost and schedule risk analysis into clear recommendations that support project authorization, delivery, and oversight. Key Responsibilities Project Risk Management and Analysis • Identify, assess, score, and document project risks for capital and non-capital projects., • Perform quantitative risk assessment modeling, including Monte Carlo simulation techniques., • Analyze cost and schedule risks and quantify potential impacts to project delivery., • Develop, maintain, and quality-check project risk registers and supporting documentation., • Use Authority-standard tools, including Lumivero @Risk for Excel, Oracle Primavera Risk Analysis, and Oracle Primavera P6., • Recommend improvements to risk management procedures, templates, reporting, and analytical processes. Risk Assessment Planning and Preparation • Compile and review project documentation, including engineering design reports, construction cost estimates, and project schedules., • Plan risk assessment activities in alignment with project authorization requirements and project delivery milestones., • Coordinate with stakeholders to define workshop participants, subject matter experts, and assessment team composition., • Develop work plans, schedules, milestones, and deliverables for risk assessment activities and reporting. Cost and Schedule Validation • Independently review project scope, cost estimates, and schedules for completeness, consistency, and reasonableness., • Validate alignment among scope, cost, schedule, assumptions, and supporting technical documentation., • Facilitate coordination sessions with Authority staff to confirm assumptions, inputs, and risk model parameters., • Develop or refine Primavera P6 schedules, as needed, to support risk modeling and schedule risk analysis. Workshops, Facilitation, and Stakeholder Engagement • Organize and facilitate risk assessment and mitigation workshops with project stakeholders and subject matter experts., • Elicit and document risk likelihood, impact, root causes, triggers, assumptions, and potential responses., • Facilitate risk scoring, contingency development, and prioritization of cost and schedule impacts., • Present risk analysis results, mitigation options, and recommendations in clear, decision-ready formats., • Provide guidance, training, and mentoring to stakeholders on risk management processes and tools. Risk Mitigation and Strategy Development • Develop and evaluate mitigation strategies considering cost, schedule, scope, implementation duration, and likelihood of success., • Support development of actionable mitigation plans, owners, due dates, and follow-up processes., • Track mitigation progress and support integration of risk findings into project controls and management reporting. Reporting, Documentation, and Lessons Learned • Prepare draft and final Project Risk Assessment Reports, including executive summaries, project descriptions, workshop assumptions, risk registers, modeling outputs, contingency results, findings, and recommendations., • Deliver electronic and hardcopy reports, along with supporting models compatible with @Risk, Primavera Risk Analysis, and Primavera P6., • Facilitate lessons learned workshops and prepare reports documenting issue background, successes, challenges, impacts, lessons learned, recommendations, and corrective actions., • Support publication of lessons learned and ongoing continuous improvement of Authority risk management practices. Required Qualifications • Bachelor of Science degree in Engineering, Accounting, Economics, Business Administration, or a related field; or Project Management Professional (PMP) certification with a technical degree., • Minimum of three (3) years of experience performing project risk assessments., • Demonstrated experience facilitating risk assessment workshops, performing risk analysis and modeling, and preparing risk assessment reports., • Strong understanding of project risk management and project management principles., • Experience supporting capital, infrastructure, transportation, aviation, facilities, or similar project environments., • Ability to obtain a SWAC ID and associated security clearances upon hire. Preferred Qualifications • Five (5) to ten (10)+ years of project risk management experience, including risk assessment, modeling, reporting, and workshop facilitation., • Experience supporting large, complex infrastructure programs or public agency capital programs., • Experience supporting Port Authority or similar agency projects., • Experience contributing to program-level risk management process improvements., • PMI Risk Management Professional (PMI-RMP) certification. Technical Skills and Competencies • Advanced analytical and quantitative risk assessment capabilities., • Proficiency with Oracle Primavera P6, Oracle Primavera Risk Analysis, Lumivero @Risk for Excel, and Microsoft Office Suite., • Strong written and verbal communication, facilitation, and presentation skills., • Ability to manage multiple concurrent assignments and work effectively with limited direction., • Strong problem-solving, decision-making, negotiation, and stakeholder management skills., • Ability to work independently and collaboratively with multidisciplinary project teams. Work Environment • Work will be performed primarily at 4 World Trade Center, New York, NY, with assignments at other PANYNJ facilities as required., • Standard work schedule is Monday through Friday, with flexibility based on Authority needs and project requirements., • The role requires frequent coordination with engineering, project management, project controls, cost, schedule, and technical subject matter experts. Compensation • $80-$100 per hour, depending on experience, qualifications, and client requirements. Benefits • 401(k) and 401(k) employer matching, • Health, dental, group life, LTD, and AD&D insurance, • Paid time off and paid holidays, • Professional development assistance Equal Employment Opportunity Statement PACO Group, Inc. is committed to furthering opportunities for everyone in the national construction market. The firm periodically reaffirms this commitment through an active affirmative action plan and provides Equal Employment Opportunities to all employees and applicants without unlawful discrimination based on race, creed, color, national origin, sex, age, disability, marital status, religion, military status, pregnancy, sexual orientation, citizenship status, or any other status protected by applicable law. As an equal opportunity employer, PACO has recruited, hired, promoted, and retained an ethnically and socially diverse professional staff, including a multidisciplinary workforce represented at all levels of the firm.

Katten is a full-service law firm with approximately 650 attorneys in locations across the United States and in London and Shanghai. Clients seeking sophisticated, high-value legal services turn to Katten for counsel locally, nationally and internationally. The firm’s core areas of practice include corporate, financial markets and funds, restructuring, intellectual property, litigation, real estate, structured finance and securitization, transactional tax planning, private credit and private wealth. Katten represents public and private companies in numerous industries, as well as a number of government and nonprofit organizations and individuals. Applications Engineer The Applications Engineer is a highly skilled technical position, responsible for providing 3rd level support for Firm and legal applications such as iManage Cloud, Microsoft 365, various Office-integrated applications, commercial cloud applications, and various legal and operational systems used across the Firm. In addition to support responsibilities, the Applications Engineer is also responsible for leading technical discussions and executing complex project work with minimal supervision, ensuring stable, secure, and scalable application solutions aligned with business needs. The Applications Engineer maintains professionalism and strict confidentiality in all client and Firm matters. The Applications Engineer can sit in our Chicago, Charlotte, Dallas, New York, Washington D.C., or Los Angeles office. Katten offers a hybrid work model, allowing the flexibility to work both on-site and remotely on a regular basis (KattenFlex). Essential Duties and Responsibilities include, but may not be limited to, the following. Other duties may be requested and/or assigned. Essential functions are primary job duties that an individual must be able to perform successfully with or without a reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Assume ownership of Level 3 incidents for supported applications, including advanced troubleshooting, root cause analysis, and thoroughly documenting troubleshooting steps and final resolution., • Create and maintain knowledge base articles and operational documentation., • Proactively identify trends, systemic issues, and risks; take action to prevent service interruptions and improve system stability and performance., • Perform all aspects of application discovery, including identifying prerequisites, configuration requirements and integration points, and validation of deployments delivered via endpoint management and automation platforms to ensure reliability and compliance with security standards., • Perform and/or coordinate user acceptance testing (UAT) for new or upgraded applications., • Develop, maintain, and leverage PowerShell scripts to support application deployment, configuration management, reporting, and troubleshooting., • Identify and implement automation opportunities to streamline processes, reduce manual effort, and improve operational efficiency., • Administer and support Microsoft Intune, including device configuration profiles, compliance policies, application deployment, update management, and endpoint security baselines., • Monitor and optimize endpoint management strategies to improve reliability, compliance, and user experience., • Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI-enabled tools, and intelligent automation platforms., • Assist in evaluating, testing, and supporting AI-driven solutions, ensuring alignment with firm security, compliance, and data governance standards., • Recommend solutions that improve productivity, enhance workflows, and deliver measurable business value., • Interact with attorneys, business staff, clients, vendors, and consultants to resolve complex issues and implement enhancements., • Clearly communicate technical issues, troubleshooting steps, and solutions., • Assume responsibility for implementation and support of third-party applications and integrations., • Conduct knowledge transfer sessions and collaborate on training materials., • Advocate for user experience improvements and incorporate end-user feedback into solutions., • Occasional after-hours support is required. Supervisory Responsibilities • This position has no direct supervisory responsibilities, however, has the authority to delegate work within the Department relating to applications’ tasks. Knowledge, Skills And Abilities • Bachelor’s degree or equivalent in Computer Science, Information Technology or related specialty and five or more years related experience preferred; or equivalent combination of education and experience., • Strong working knowledge of SaaS applications is required. Administrative experience with M365 and Microsoft Intune (or other modern endpoint management concepts) is preferred. Must be quality and results oriented., • Experience working in a law firm supporting software used to meet legal practice requirements is a strong plus. Previous software applications experience within a larger organization is preferred., • Advanced troubleshooting and analytical skills, proactive with the ability to identify define, and analyze complex application issues and problems and to recommend and implement solutions., • Ability to lead technical discussions and independently manage complex projects with minimal supervision., • Experience developing and maintaining PowerShell scripts for automation and system administration., • Familiarity with Microsoft Copilot, AI tools, and enterprise governance considerations., • Strong understanding of application integration, configuration, and performance optimization., • Exhibit high degree of initiative in exercising independent judgment with demonstrated troubleshooting, follow-through, and critical-thinking skills to manage multiple projects simultaneously in a fast-paced, detail-oriented and consistently changing work environment with the ability to make decisions based upon results of research., • Excellent analytical and technical skills requiring an aptitude for detail, precision, and logic with comprehensive knowledge of Windows-based, client-server applications to conduct detailed analysis of applications’ project work including testing and installation., • Excellent interpersonal, verbal, and written communication skills with the ability to communicate with courtesy and diplomacy and efficiently follow written and verbal instructions., • Ability to provide technical support and training to a diverse group of users having different levels of computer expertise including attorneys, support staff and clients. In addition, maintain effective relationships with vendors and consultants., • Excellent organizational skills including record keeping, data collection and system information. Ability to compile and analyze data and furnish information in report format, written correspondence, e mail or verbally., • Ability to occasionally retrieve and distribute applications’ software, written documentation, or office supplies weighing up to 20 pounds., • Work occasionally requires more than 37.5 hours (35 hours in New York) per week to perform the essential duties of the position. For our New York office, the annualized salary range for this position is $110,000 to $135,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. We offer an outstanding benefit package which includes: medical/dental/vision, 401k with employer contribution, parental leave, transportation fringe benefit program, back-up care option, generous paid time off policy, and long-term and short-term disability policies. Katten Muchin Rosenman LLP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY The Head of AI Data Science serves as the head of AI research and leader of data science operations for a new behavioral intelligence platform initiative within Charter Communications. This executive owns the design, training, validation, and real-world application of the platform's proprietary transformer-based behavioral model — the engine that converts household-scale network signals into the embeddings and predictive features that power the platform's intelligence products. The Head of AI Data Science leads a team of data scientists and ML researchers, partners closely with the Head of Technology on infrastructure, and works in direct collaboration with external development partners during the initial build phase. This role sits on the platform leadership team and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF AI DATA SCIENCE MAKES AN IMPACT Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced. Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals. Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results. Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores. Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data. Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape. QUALIFICATIONS REQUIRED QUALIFICATIONS Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records) Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent) Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures REQUIRED EDUCATION Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field PREFERRED EDUCATION Master's degree or PhD in Machine Learning, Artificial Intelligence, Statistics, or a related quantitative discipline; PhD preferred but not required — demonstrated applied impact and production deployment track record are equally valued REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Senior data science or AI research leadership at a consumer technology, media, adtech, or data intelligence company with transformer-based modeling applied at household or user scale (e.g., Amazon, Netflix, Meta, Google, The Trade Desk, LiveRamp, Nielsen) — 10 years WORKING CONDITIONS In-office position preferably based in New York City * Travel as required for partner engagements, executive meetings, and industry events Apply now, connect a friend to this opportunity or sign up for job alerts (https://jobs.spectrum.com/) ! Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. #LI-SD2 Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 101,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q) Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. (https://jobs.spectrum.com/inclusiveworkplace/) #LI-SD2 #LI-SD2 XEN421 2026-72871 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00 . The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. (https://www.youtube.com/watch?v=mYw1ejL2jZ8) Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. (https://jobs.spectrum.com/life-at-spectrum)

We are seeking a professional to support data governance efforts for historical market data used in calculating key risk metrics such as VaR and SVaR. This role involves working with risk methodology, business units, and technology teams to enhance risk management capabilities, maintain data integrity, and assist in model implementation, testing, and validation. The ideal candidate will have experience with market risk, data infrastructure, and regulatory requirements, along with exposure to large-scale data environments and risk processes. Key Responsibilities: • Support data governance for market risk data, ensuring completeness, accuracy, and consistency across asset classes., • Assist in the design, testing, and rollout of VaR/S-VaR risk models., • Partner with risk methodology, business units, and technology teams to improve risk systems and data flows., • Contribute to the management of historical market risk time series, including defining data sources and validation frameworks., • Monitor and help remediate data issues impacting risk measurement and reporting., • Provide input and analysis on risk reports, including regulatory disclosures., • Collaborate with model developers and risk analysts to support data integrity and model accuracy. Must Haves: • 2+ years experience in market risk or data management at a bank, • understanding of VaR or Time Series, • Quantitative background, • Python experience, • SQL experience, • Any type of Trade or Product experience Plusses: • Masters Degree

Job title: • Quantitative Researcher (Systematic Equities). Salary: • Up to £350,000 starting base + industry-leading guaranteed bonus and package., • TC of up to £1M+ GBP in annual compensation. Location: • Chicago/New York/London., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

$35 - $100/hourpayEViewsMacroeconomicsmicro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

$45 - $65/hourpayAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Accountant Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze and interpret complex marketing and financial data to identify key trends and insights., • Develop and implement standardized rubrics and frameworks to support AI model training and evaluation using domain knowledge., • Collaborate with cross-functional teams to ensure accounting accuracy and compliance within innovative technology projects., • Provide expert guidance on accounting principles to inform model development and data validation processes., • Document and communicate findings and recommendations clearly through exceptional written and verbal communication skills., • Continuously monitor industry best practices and integrate them into ongoing projects., • Support the customer's team in refining data-driven strategies by offering actionable accounting insights. Required Skills and Qualifications: • Bachelor’s degree in Accounting or a related field., • Minimum of 3 years of experience in accounting roles., • Strong written and verbal communication skills with attention to detail., • Proven experience analyzing data and applying accounting knowledge to solve complex problems., • Ability to create structured rubrics and frameworks for quantitative and qualitative analysis., • Comfort working in a remote, collaborative, and fast-paced environment., • Demonstrated capacity for critical thinking and independent problem-solving. Preferred Qualifications: • 7+ years of overall professional experience, preferably in diverse accounting environments., • Experience working with or supporting AI model development or related technology projects., • Advanced certifications in accounting or finance (e.g., CPA, CMA).

Company Description Radish is committed to making quality medical care more accessible, aiming to improve employee health and satisfaction while reducing overall healthcare costs. Through innovative solutions, we support healthier workplaces and foster well-being among employees. By prioritizing accessibility and affordability, Radish transforms the way healthcare services are delivered and experienced. Role Description Radish Health is looking for a Principal Engineer to join our growing engineering team. In this role, you'll be responsible for designing, developing, and maintaining scalable applications and services. You'll lead technical solutioning efforts, make architectural decisions, and help define best practices to ensure long-term performance and reliability. You'll be instrumental in building and deploying AI/ML capabilities that directly impact patient care, clinical decision-making, and healthcare operations. This role will help integrate new technologies and oversee all engineering activities for the cross-functional team. This includes the consumer (patient)-facing experiences, clinical and administrative interfaces, and building out all underlying capabilities that support those experiences. Teams are small and agile, and the role is very hands-on, combining individual contribution with technical leadership. You'll play a key role in setting technical direction, mentoring and working with other engineers, and collaborating across teams to deliver impactful solutions. Responsibilities • Collaborate with team members and business stakeholders to understand requirements and develop effective technical solutions, • Lead and manage a team of onshore and offshore developers, providing technical leadership and mentorship, • Oversee the design, development, testing, and deployment of applications, • Deliver flexible and robust solutions that meet overall business objectives, • Participate in technical solution reviews and ensure implementation of best practices, • Perform hands-on solution design and develop proof-of-concepts for new features or technologies, • Implement and maintain modern DevOps practices to ensure smooth, automated delivery processes, • Leverage AI and automation technologies to optimize workflows, improve efficiency, and enhance product capabilities, • Build and optimize data pipelines that feed AI/ML models with healthcare data from multiple sources, • Continuously learn and stay current with emerging technologies, industry trends, and best practices to drive innovation and maintain technical excellence About You Operational Excellence - You have a deep understanding of software engineering best practices, including clean code, refactoring, complexity reduction, schema design, and Domain-Driven Design. You take pride in writing production-ready, high-quality, and maintainable code. Mission-Driven - You care deeply about improving healthcare and patient outcomes. You're excited to work at a company that is using technology to transform how care is delivered. Exceptional Communicator - You're able to clearly and effectively communicate complex technical ideas, whether in writing, on calls, or in collaborative sessions. You thrive in a remote-first environment and enjoy working closely with engineers, product managers, and other stakeholders. Execution-Oriented - You have a strong bias for action and delivering results. You don't wait for perfect conditions, you move things forward, overcome blockers, and get the job done. Data-Driven & Systems Thinker - You are a systems thinker whose happy place is imagining new ways of capturing and capitalizing on data. Where others see dormant, siloed information, you see the potential for AI/ML-powered insights, intelligent automation, and seamless integrations. You excel at designing end-to-end solutions that combine traditional data engineering with modern AI capabilities to create scalable, automated workflows that enhance healthcare delivery. Analytical Problem Solver - You thrive on breaking down complex technical challenges into manageable components. You approach problems systematically, use data to drive decisions, and can identify root causes quickly. You're comfortable working with ambiguous requirements and can design elegant solutions for intricate workflows. Requirements • Bachelor's or master's degree in Computer Science, Information Technology, or a related field, • Proven 6–8 years of software development experience, with at least 3 years in a team lead or technical leadership role, • Strong proficiency in C#, or alternatively Java or Node.js, with a solid understanding of object-oriented programming principles and design patterns, • Hands-on experience with .NET Framework/Core (including ASP.NET MVC, ASP.NET Core, Web API) or equivalent frameworks in Java (Spring, Jakarta EE) or Node.js (Express.js), • Strong database skills with expertise in SQL Server, including writing and optimizing stored procedures, functions, and views, • Proven experience building secure and performant RESTful APIs, • Proficiency in React.js for front-end development, • Solid knowledge of TypeScript and JavaScript, including ES6+ features and modern development best practices, • Understanding of UI/UX principles to collaborate effectively with design and deliver intuitive user experiences, • Understanding of software development lifecycle (SDLC) methodologies, particularly Agile, • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), • Experience with key AWS services including IAM, Lambda, API Gateway, RDS, EC2, and S3 (or similar services in other cloud platforms), • Cloud certifications demonstrating expertise in cloud architecture and administration, • Experience with microservices architecture, • Strong experience with Git for version control and collaborative development workflows, • Hands-on experience with AI/ML technologies, including integrating and consuming AI APIs (OpenAI, Azure Cognitive Services, AWS Bedrock, etc.), building solutions using Retrieval-Augmented Generation (RAG) for knowledge systems, fine-tuning pre-trained models with specific datasets, and model experimentation, hyperparameter tuning, and performance optimization in production environments, • Exposure to data engineering practices, including building data pipelines for model training and inference, data preprocessing and feature engineering, and ensuring data quality and validation, • Understanding of security best practices, procedures, and policies Nice to Have • Experience building and deploying AI agents for healthcare workflows, including multi-step reasoning, tool integration, and autonomous task execution, • Familiarity with agent frameworks and orchestration platforms, • Knowledge of prompt engineering techniques and agent behavior optimization, • Experience with workflow automation platforms like n8n, • Experience with low-code/no-code platforms like Retool for rapid application development, • Experience with data warehouses like BigQuery, Redshift, or Snowflake, • Experience with containerization technologies like Docker Benefits • Flexible Paid Time Off (PTO), • Health, Dental and Vision Insurance, • 401(k) Retirement Plan, • Flexible Spending Accounts Additional Information • This is a full-time, hybrid position located within the United States. Team members are expected to work 3 days per week in our NYC office.

Celltrion USA is Celltrion’s U.S. subsidiary established in 2018. Headquartered in New Jersey, Celltrion USA is committed to expanding access to biologics to improve care for U.S. patients. Celltrion USA will continue to leverage Celltrion’s unique heritage in biotechnology, supply chain excellence, and best-in-class sales capabilities to improve access to high-quality biopharmaceuticals for U.S. patients. Celltrion Healthcare, which suggested a new growth model in the Korean biopharmaceutical industry through biosimilars, is now advancing to new challenges to become a global pharmaceutical provider. Just as it has overcome many obstacles in the past, Celltrion Healthcare will successfully pave the path for global direct selling, which has never been achieved yet by Korean biopharmaceutical companies. As it continues to surpass its current success, Celltrion Healthcare will take a leap forward to become a leading global biopharmaceutical company. Celltrion Healthcare provides biosimilar and innovative biopharmaceutical medications to help increase patient access to advanced therapies around the world. POSITION SUMMARY This role supports commercial contracting operations by translating contract terms into standardized rebate calculation logic, ensuring accurate quarterly rebate calculations for contract-based rebate programs, and maintaining rebate tracking tools and historical data integrity. The position also supports the integration of contract and sales data for reporting and validation, collaborates with cross-functional teams to ensure contract logic is accurately reflected in reporting solutions, supports validation and follow-up for other rebate programs as needed, and maintains structured, audit-ready documentation of deal history, amendments, and version changes. KEY ROLES AND RESPONSIBILITIES Rebate Structure & Tracker Management • Standardize rebate calculation frameworks across contract-based rebate programs, including GPO and direct purchase contracts, and support other programs as needed., • Maintain rebate tracking tools and historical data to support accurate quarterly rebate calculations and validation activities., • Translate contract rebate terms into calculation logic and ensure quarterly rebates are calculated accurately, while supporting other rebate validations as needed. Contract-Sales Data Integration • Develop and manage mapping frameworks across GPOs, aggregators, and hospital rosters., • Link contractual terms with actual sales data to enable accurate rebate calculation and contract performance tracking., • Align commercial agreements with transactional data for reporting and validation, and support follow-up on rebate inquiries or disputes as needed., • Power BI-Based Rebate Analytics & Monitoring, • Work with the reporting team to ensure contract logic and rebate requirements are reflected accurately., • Support translation of contract terms and rebate methods into business rules for dashboard development., • Review rebate outputs and support monitoring to improve reporting accuracy and visibility. Knowledge of Contracting and Product Program Management • Establish structured processes for managing product program rebate life cycle, including contract amendments and version tracking., • Knowledge of customer and affiliation relationships across different line of business and distribution channel, • Ensure consistency between contract records and Finance month-end closing data., • Maintain audit-ready documentation of historical deal terms and changes with the Finance team. WORK EXPERIENCE • 3+ years of experience in Pharma/Biotech or related industries, preferably in Pricing, Contracting, Finance, Sales Operations, or other data-intensive commercial functions., • Experience supporting contract administration, rebate processing, data reconciliation, or commercial reporting is strongly preferred. QUALIFICATIONS • Advanced Excel Skills (Required): Strong proficiency in formulas, pivot tables, lookups, and data validation to support rebate calculations and reporting., • Attention to Detail: Strong accuracy in reviewing contract terms, validating rebate calculations, and reconciling data across multiple sources., • Communication and Coordination: Ability to work effectively across Finance, Sales, and other cross-functional teams to support reporting, resolve issues, and follow up on rebate-related inquiries or disputes. EDUCATION Bachelor’s Degree required in business or related field; advanced degrees, MBA, MS in business or related field is a plus. CORE COMPETENCIES • Analytical Rigor: Ability to interpret contract terms, process large datasets, and validate rebate calculations with a high degree of accuracy., • Operational Discipline: Strong attention to detail in maintaining contract records, supporting quarterly rebate processes, and ensuring audit-ready documentation., • Collaborative Mindset: Effective communication skills to coordinate with Finance, Sales, and reporting teams, and to support timely follow-up on rebate issues and disputes., • Business Agility: Ability to manage multiple priorities in a fast-paced commercial environment while maintaining accuracy, consistency, and responsiveness. Celltrion USA is an equal opportunity employer. It is our policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. #LI-MDR-D

Job Code : RCI-ZON-9174-1 Job Title: Professional Coder Location: Newark, NJ, US 07101 Duration: 06 Month extension possible based on needs and performance Minimum Salary: $31.00 Per Hourly Maximum Salary: $36.00 Per Hourly Summary: • This position is accountable for accurately reviewing, interpreting, auditing, coding and analyzing medical record documentation for diagnosis accuracy, correct documentation, and Hierarchical Coding Condition (HCC) abstraction., • Review may include inpatient, outpatient treatment and/or professional medical services, according to ICD-9/ICD-10 CM coding guidelines and risk adjustment model regulations., • This position supports Annual Commercial (ACA) and Medicare Advantage Risk Adjustment Data Validation Audits (RADV) along with the annual Risk Adjustment life cycle for the Medicare, Medicaid, and Commercial lines of business. Responsibilities: • Can understand and translate CPT, HCPC, ICD-9/ICD-10 codes for HCC abstraction., • Review medical records for completeness, accuracy and compliance with applicable coding guidelines and regulations., • Identify, compile and code member/patient data, using ICD-9/ICD 10-CM and other standard classification coding systems. Qualifications: • Requires current Registered Health Information Technologies (RHIT) or Certified Professional Coder designation from the American Academy of Professional Coders or a Certified Coding Specialist , P from the American Health Information Management (AHIMA), • Requires 2 - 5 years of Medical Coding experience, • Requires a minimum of 2 years’ experience in Health Insurance/quality chart audits and/or Utilization Review, • Bachelor's degree preferred Knowledge • Requires proficiency in the CPT-4, HCPC, ICD-9/ICD-10 coding, • Requires knowledge of medical terminology of medical procedures, abbreviations and terms, • Requires knowledge of the health care delivery system Skills and Abilities • Requires the ability to utilize a personal computer and applicable software (e.g. proficiency in Word and Excel), • Must have effective verbal and written communication skills and demonstrate the ability to work well within a team

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement. Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further. East West Bank is seeking a highly experienced Senior Vice President (SVP) – Data Science & Advanced Analytics to lead enterprise-scale AI, machine learning, and advanced analytics initiatives that drive measurable business outcomes across the bank. This role is designed for a hands-on, execution-oriented leader with deep expertise in data-driven decisioning, scalable analytics platforms, and AI-enabled process transformation within highly regulated industries. The ideal candidate combines strong technical depth with practical business acumen and has a proven track record building production-grade analytics solutions that improve operational efficiency, risk management, customer experience, and profitability. The role partners closely with business, technology, data engineering, risk, compliance, and operations teams to operationalize AI and analytics capabilities across critical banking functions. Key Responsibilities • Lead the design, development, and deployment of enterprise AI, machine learning, and advanced analytics solutions across key banking domains including risk, fraud, AML/BSA, customer analytics, and operational intelligence., • Drive end-to-end analytics delivery from business problem definition through data engineering, feature engineering, model development, deployment, monitoring, and business adoption., • Build scalable and production-grade machine learning pipelines leveraging Azure-native and distributed computing frameworks including Azure ML, Databricks, Spark, and cloud-based data platforms., • Operationalize AI and analytics solutions within core business processes and decision workflows to drive measurable business value and adoption., • Partner with engineering teams to integrate models into enterprise systems through APIs, microservices, and modern data platforms., • Lead model governance, explainability, monitoring, validation, recalibration, and regulatory compliance activities aligned with banking and model risk expectations., • Establish best practices for MLOps, model lifecycle management, CI/CD automation, experiment tracking, and production monitoring., • Collaborate cross-functionally with business, risk, compliance, legal, audit, and technology stakeholders to ensure responsible and scalable AI adoption., • Mentor and lead high-performing analytics and data science teams, including distributed or offshore resources where applicable., • Translate complex analytical insights into executive-level recommendations and measurable business outcomes. Required Qualifications & Skills • 10+ years of hands-on experience in data science, advanced analytics, AI/ML engineering, or quantitative modeling, including leadership experience within financial services, fintech, insurance, or other regulated industries., • Proven track record delivering production-grade AI and analytics solutions with measurable business impact in complex enterprise environments., • Deep hands-on expertise in Python, SQL, machine learning frameworks, statistical modeling, predictive analytics, and distributed data processing., • Strong practical experience with modern AI/ML tooling and platforms including Azure ML, Databricks, Spark, TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow, and cloud-native analytics ecosystems., • Experience implementing scalable MLOps frameworks including model deployment, CI/CD automation, model monitoring, experiment tracking, and governance controls., • Strong understanding of model risk management, explainability, auditability, data governance, privacy, and regulatory expectations within regulated industries., • Hands-on experience integrating analytics and AI solutions into enterprise applications, APIs, operational workflows, and decision systems., • Strong process orientation with the ability to redesign workflows and operational models using data-driven insights and AI-enabled automation., • Demonstrated ability to influence senior executives and drive cross-functional execution across business, technology, risk, and operations teams., • Excellent communication, stakeholder management, and executive presentation skills., • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline. Differentiating Experience (Highly Preferred) • Direct experience building AI and analytics capabilities within commercial banking, consumer banking, payments, lending, fraud, AML/BSA, or regulatory reporting environments., • Experience deploying Generative AI, LLM, NLP, or intelligent automation use cases in production environments., • Strong knowledge of SR 11-7, CCAR, CECL, BCBS 239, and enterprise governance frameworks related to AI and model risk., • Experience designing enterprise feature stores, vector-based retrieval systems, or real-time inference architectures., • Experience leading enterprise AI transformation initiatives from proof of concept through scaled production adoption., • Master’s degree or PhD in a quantitative discipline., • Demonstrated ability to build, retain, and scale high-performing analytics organizations. Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time. Compensation The base pay range for this position is USD $125,000.00/Yr. - USD $250,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative Members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, Fairway Markets®, Gourmet Garage®, Di Bruno Bros.®, Morton Williams® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay ahead of the competition, Wakefern’s co-operative Members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. About You Summary As a member of the Transportation Safety Department, you will be responsible for monitoring and managing compliance, safety, accountability (CSA) performance and ensuring all corrective actions are taken as a result of roadside inspections. Overseeing accident investigations, along with documenting investigation findings. Initiating and maintaining all U.S. Department of Transportation (DOT) mandated paperwork for the fleet. Driver hiring and maintaining qualification files in accordance with FMCSA guidelines. Conducting driver safety meetings. Interacting with Dispatch, Fleet Maintenance and Risk Management. Monitoring hours of service (HOS) compliance and provide refresher training as needed. Essential Functions The core functions of this position include, but are not limited to, the following: • Initiate and maintain all U.S. Department of Transportation mandated paperwork to include; driver qualification file, annual review, DOT physical, Commercial Driver License., • Monitor and manage driver safety performance such as HOS compliance, DriveCam review and coaching, CSA compliance and ensure all corrective action is taken as a result of roadside inspections., • Accident investigation, documentation and participate in determining the ruling of preventable or non-preventable, post-accident counselling, refresher training., • Driver retention and new hire. Verify qualification in accordance with our driver hiring guidelines. Initiate and process all new hire paperwork, to include the Department of Transportation’s PSP (Pre-Employment Screening Program), Clearing House validation and maintain driver files., • Ensure regulatory compliance by actively monitoring driver's license status, medical certificates and ensure DOT random drug testing quota is met., • Ensure all equipment meets regulatory requirements (registration, annual inspection, insurance and internal record keeping)., • Interact with dispatch personnel to ensure drivers are always in compliance with all regulations., • Interact with Fleet Maintenance regarding vehicle inspections, equipment compliance, and damages., • Interact with stores regarding any safety issues involving our drivers, equipment, or store property. Remedy such issues., • Research motorist complaints, interact with the motorist to provide a timely response, present and confront the driver with the complaint., • Research and interact with Fleet Maintenance and Accounting regarding damage to our equipment caused by third party motor carriers or vendors. Qualifications • Bachelor’s degree in business management, economics, finance or marketing. Certifications in Supply Chain Management, OSHA, Safety and Compliance; a plus., • Minimum of 5 to 7 years of supervisory experience in Transportation Safety & Compliance, • Working knowledge of FMCSA Rules and Regulations, CSA and HOS, • Working knowledge of Accident Investigation & Reconstruction, • CSP certification preferred, • Substance Abuse Training Certification, • Detail oriented multi-tasker with a demonstrated ability to meet deadlines and transportation compliance regulations., • Advanced personal computer skills including Word, Excel, Power Point, and Outlook., • Effective communication skills to include both verbal and written communication. Ability to present to varied audiences, such as executive leadership or Members. Shares information and knowledge in support of the team and organization’s success., • Good organizational and time management skills. Working Conditions & Physical Demands • Ability to balance prolonged periods of sitting at a desk and standing at a counter while working on a computer, • Ability to move efficiently between inbound and outbound work stations, • Ability to travel to various transportation terminal locations for site visits, • Ability to do yard walks and perform hands on equipment inspections, • Flexibility with regard to working hours, shift rotations, work locations, weekends, overtime, and holidays in a 24/7 Sunday thru Saturday operation. Split work week is required (Any 5 out of 7) and days off will be based on business need and may not include traditional Saturday/Sunday off days. Leadership Competencies • Think Strategically: Create a compelling vision, develop a strategy and empower others to achieve it, • Influence Others: The ability to effectively collaborate, inspire, persuade and align others, • Drive Change: Create the vision and drive the momentum for change, • Talent Planning: Build organizational and associate capability to achieve business goals, • Take Accountability: Drive a culture of ownership throughout the organization, • Inclusive Leadership: Role model inclusive leadership to leverage diversity Core Competencies • Communicate Effectively: Communicates thoughts and ideas in a well-organized manner, encouraging two-way communication., • Build Relationships: Creates cross functional partnerships through the development and maintenance of constructive and cooperative relationships., • Stay Competitive: Demonstrates a mindset of continuous improvement while exhibiting passion and enthusiasm for their work., • Embrace Change: Looks for new ways of working by supporting advancements in processes and technology., • Develop You: Identifies and capitalizes on opportunities for personal and professional career growth., • Drive for Results: Supports divisional and strategic objectives through achievement of work goals. Company Perks • Vibrant Food Centric Culture, • Comprehensive medical, dental and vision package, • Competitive Salary and Paid Time Off, • Fitness Reimbursement and Well-Being Program, • Corporate Training and Development University, • Collaborative team environment, • Paid Parental Leave, • 401K, • Matching Gifts and Community Volunteer Involvement Compensation and Benefits: The salary range for this position is $69,004 to $90,324. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k)-retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

The STAT Reporting and ALM team aims to continually provide timely and accurate results, projections and analysis with a clear story regarding variances and changes so that senior management is well informed to manage business. We always strive to improve tools and processes and to become nimble for future business changes, while working closely as team to grow and learn more every day. The Actuarial Associate supports the preparation and analysis of U.S. statutory reserves, including cash flow testing, capital and ALM deliverables, as well as the filing of statutory reports to ensure compliance with actuarial standards of practice, model regulations and other requirements from internal stakeholders. Key Responsibilities • Support the quarterly and annual statutory close process with calculation, review and validation of statutory reserves, forecasts and related exhibits., • Assist in explaining quarteroverquarter movements in reserves and cash flows and producing a source of earnings analysis for presentation to senior management., • Assist in monitoring changes in U.S. statutory regulations, NAIC guidance, and actuarial guidelines, and support implementation efforts., • Contribute to capitalrelated analyses used in management reporting, planning, and regulatory discussions., • Support ALM analysis, including cash flow projections, duration metrics, and reinvestment assumptions., • Support responses to auditor and regulatory inquiries related to statutory valuation and modeling., • Collaborate with cross-functional teams, including Finance, to ensure accurate and timely reporting of statutory results., • Recommend process improvements and implement strategies to achieve efficiencies on the quarterly close process. Requirements • Progress towards ASA required, • 2+ years of experience in life insurance/reinsurance industry, preferably with exposure to US Statutory valuation and reporting experience, • Life insurance product knowledge including product design, features, and risks is preferred, • Bachelor's degree in mathematics, actuarial science, or related field, • Moody's GGY AXIS and SQL experience is preferred We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: • Two options for your health insurance plan (PPO or High Deductible)., • Prescription drug coverage (included in your health insurance plan)., • Vision and dental insurance plans., • Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary., • Short and Long-Term Disability coverage., • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children)., • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity). In addition to the above insurance offerings, our employees also enjoy: • A robust 401k plan with up to a 6% employer match, • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries., • Eligibility to receive a yearly bonus as a Munich Re employee., • A variety of health and wellness programs provided at no cost, including a gym fitness reimbursement., • Paid time off for eligible family care needs., • Tuition assistance and educational achievement bonuses., • A corporate matching gifts program that further enhances your charitable donation., • Paid time off to volunteer in your community. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. About Munich Re Together, we engage with everything we have and are, to help humankind act braver and better. As the world's leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. For New York City based employees, the base salary range anticipated for this position is $109,000 - $146,000, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest. _ Save job

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$100,000—$120,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking Network and Security Practice Leads, in Boston MA. These individuals will be hands-on leaders, providing technical oversight for an engineering team throughout their services execution, ensuring engineers are technically prepared, projects are completed successfully and efficiently, and have met or exceeded client expectations. In this role you will serve as a focal point for highly complex implementations, lead design workshops and support pre-sales activity for professional services engagements. The role will require overseeing a team of engineers, assuring that both Presidio and vendor best practices are adhered to, as well as providing a superb customer experience Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities Include: • Technical Leadership:, • Oversee the execution of network and security projects, from initial design and staging to installation, validation, and troubleshooting of complex data and security projects., • Provide guidance and quality assurance for network designs that align with business objectives, customer budgets, and operational support capabilities, ensuring scalable, reliable, and secure network architectures., • Support/ Lead troubleshooting efforts for complex network and security issues, providing guidance and support to team members during deployments., • Client Relationships, • Customer facing technical leadership for all services engagements, including escalations, • Business Management, • Work closely with sales, pre-sales, project management, and other engineering teams to deliver integrated solutions and achieve project goals., • Team Building: Foster a culture of growth and development, focusing on technical and professional development. Required Skills and Professional Experience: • Advanced Networking Expertise:, • Proven experience with complex multi-protocol routing and switching, including designing, configuring, and troubleshooting with a focus on Cisco best practices., • In-depth knowledge of core routing and switching platforms (e.g., Cisco) and advanced networking concepts such as OSPF, BGP, EIGRP, and IP addressing design., • Strong understanding of the TCP/IP protocol stack, OSI model, and commonly used TCP/UDP ports and services., • Expertise in network security, including hardening device access and implementing security protocols., • Cloud Networking & SD-WAN:, • Solid experience with cloud networking solutions in AWS, Azure, and Google Cloud Platform (GCP), as well as Aviatrix for cloud networking., • Experience deploying SD-WAN solutions such as Viptela, Silverpeak, or Palo Alto Prisma SD-WAN., • Security Solution Implementation:, • Proficient in deploying and managing security solutions from leading vendors like Palo Alto Networks (Panorama, Prisma Access, Prisma Cloud) and Cisco (FirePower/FTD Firewalls, Meraki MX, FMC Management)., • Ability to implement and manage security solutions, ensuring secure network infrastructure., • Troubleshooting & Communication:, • Strong troubleshooting skills, particularly in routing and switching issues, with a proven track record of resolving complex network problems., • Excellent verbal and written communication skills for interacting with clients, team members, and stakeholders., • Experience:, • 2+ years' experience with team leadership or management of a technical team preferred, or equivalent, • 8+ years of hands-on experience in project implementation, engineering, and design within the networking and security domains., • Bachelor's Degree or equivalent experience in network engineering, IT, or a related field, or equivalent military experience. Preferred Skills & Certifications: Additional Security Expertise: • Experience with Fortinet products (e.g., FortiGate firewalls, FortiManager/FortiAnalyzer) is highly desirable., • Advanced Networking Solutions:, • Familiarity with Arista networking solutions, including CloudVision, and Aruba networking products (e.g., Aruba CX, Aruba OS, VSX/VSF technologies)., • Automation & Scripting:, • Knowledge of network automation and scripting tools such as Python, EMM, or TCL for streamlining network configurations and management., • Certifications:, • Active Cisco Certifications (CCNP, CCIE preferred)., • Active Palo Alto Certifications (PCNSA, PCCSE, PCNSE preferred). Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio Presidio is committed to hiring the most qualified candidates to join our amazing culture. We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities. We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio. Diversity of skills and thought is a key component to our business success. At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit _ * Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state and local statutes, regulations and ordinances. To read more about discrimination protections under Federal Law, please visit: _ If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to _ for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to _. Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: • Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI., • Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows, • Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection, • Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback, • Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles., • Drive technical direction, and provide technical inputs and guidance to the team., • Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives., • Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: • B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience, • 5+ years of experience leading engineering teams of 5-15 people, • 7+ years of experience with hands-on experience in machine learning projects, • 7+ years of hands-on experience building and deploying machine learning products in production environments, • Experience in at least one of: Foundational Models, VLM, Deep Learning, • Strong coding experience in C++ and/or Python., • Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: • M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning., • Deep learning experience with Transformers, • Gen AI LLM/VLM experience, • Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization., • Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Head of Product (Data Analytics & AI) The Opportunity As Group VP, Head of Product, you are the accountable executive owner of Wiley's AI & Data Analytics Business Unit product portfolio-the company's designated second growth engine. The role calls for a product-led operator who pairs strong product craft with commercial instinct to turn strategy into a roadmap that scales based on evidence, not assumption. You own the product portfolio across three connected product lines: AI & Data Analytics Platform Services (including Applied Research Intelligence Platform), Database Solutions (turning Wiley's proprietary reference works and scientific collections into machine-readable data products), and Audience Solutions (evolving advertising and engagement into an AI-powered marketing intelligence product). These are not separate product lines-they share a common platform foundation, and you ensure each area reinforces the others. You report to the Chief AI & Data Analytics Officer and lead product managers and UX across all three product lines. You are the primary interface between commercial GMs and functional leads (Head of Technology, Head of Data Science), partnering with them to turn requirements into capabilities and evidence into roadmap and revenue decisions. Key Responsibilities • Unified Product Strategy & Roadmap: Own an integrated strategy and roadmap across AI & Data Analytics Platform Services, Database Solutions, and Audience Solutions, ensuring the product lines share a common foundation and build on shared capabilities over time., • Commercial Requirements Translation: Own commercial intake, evaluate priorities against strategy, and convert them into a sequenced roadmap with milestones, business cases, and clear launch/hold decisions., • Product Architecture: Design the product architecture to serve corporate buyer demand and near-term revenue opportunities. o Define and sequence Applied Research Intelligence Platform capabilities, including structured extraction and enrichment, knowledge graph construction, enterprise APIs, Model Context Protocol (MCP) access (standard interface for AI agents/tools), rights and entitlements governance, and clean-room execution (privacy-safe analysis environments)., • Lead the productization of Wiley's proprietary scientific collections by transforming legacy-format content into structured, machine-readable, high-margin data products. o Define the product vision for advertising and audience engagement, supported by behavioral analytics that turn Wiley's opted-in first-party audience into sellable insights and signals that inform structured data extraction priorities., • Market Validation & Evidence-Based Prioritization: Define leading indicators for execution and partner with data science and commercial teams to validate the content-depth advantage use case by use case, investing where depth is proven., • Build/Buy/Partner Decisions: Lead the product dimension of the build/buy/partner agenda by defining the commercial framing, strategic rationale, and partner guardrails., • Global Team Management: Lead and develop a high-performing, multi-disciplinary product organization spanning product management, UX, and product strategy, and build the processes and culture required for software-led, enterprise-grade execution., • Strategic Collaboration: Partner with the General Manager, commercial leaders, Head of Data Science, and Head of Technology to ensure the product strategy and roadmap realize the division's AI-powered vision. Required Experience & Qualifications • Enterprise Product Leadership: 15+ years of product management experience, with at least 7 years leading product organizations in enterprise SaaS, data products, or AI/ML platforms. Demonstrated track record of owning a product portfolio from early-stage validation through scaled commercial deployment including revenue achievements, including defining pricing architecture, access models, and product economics., • Commercial Strategy & Positioning: Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs. End User). Maintain a "Battlecard" mentality; stay ahead of market shifts and competitor movements to influence pricing and packaging strategies. Experience in designing and iterating SaaS pricing models (usage-based, seat-based, or tiered) to maximize Net Revenue Retention (NRR)., • Data & AI Product Depth: Proven experience building and commercializing data products (structured datasets, APIs, knowledge graphs, AI-powered analytics) for enterprise buyers in regulated markets. You understand provenance, rights governance, and compliance (GDPR, CCPA) as product requirements., • Corporate R&D Market Experience: Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals - including their procurement cycles, enterprise integration expectations, and the competitive landscape., • Platform Thinking: Demonstrated ability to run a multi-product portfolio on a shared platform foundation, avoiding one-off solutions that are costly to maintain and don't create long-term customer or revenue value., • Commercial Instinct: Strong grasp of product economics (usage-based pricing, tiered subscriptions, API monetization, data licensing, access controls and usage tracking) and ability to tie product decisions to ARR, NRR, and unit economics., • Interpersonal & Organizational Complexity: Proven ability to lead through shared accountability across commercial, data science, and engineering stakeholders., • Technical Literacy: Working knowledge of modern data stack technologies, API product design, and enterprise integration architectures., • Analytics & Experimentation: Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies., • Enterprise Compliance: Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 218,900 USD to 328,567 USD#LI-JL1 Job Posting Title: Group Vice President, Product Management Location: Hoboken (HQ), NJ, USA

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption. You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency. What You'll Do Product Strategy & Vision Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes Product Lifecycle Management & Delivery Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features Technical Acumen & Collaboration Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure Stakeholder Engagement & Go-to-Market Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders What You'll Need Minimum Qualifications 6+ years of product management experience in software development or related field Proven track record of successfully shipping products that have achieved market adoption and business impact Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field Preferred Qualifications 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency) Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders Strong analytical and problem-solving abilities, with a data-driven approach to decision-making Ability to thrive in a fast-paced environment and manage multiple priorities effectively Master's degree preferred Certifications in product management or AI/ML preferred Working Conditions & Travel Requirements Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations Reliable internet connection required during remote work periods How You'll Be Rewarded Salary range in the US: $129,000.00 - $261,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Why Join Workiva Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email _. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Looking for candidates in either New York, NY or Raleigh, NC Top Skills' Details- XGBoost: This is a primary framework used by the team, and candidates will be asked technical questions about it during interviews. -Statsmodels - Predictive Modeling - Cloud Platform Familiarity - Familiarity with Mamba architecture is a plus, as is BERT. Description • Own end-to-end data science initiatives from problem formulation through production deployment, operating with high autonomy in ambiguous clinical and technical domains., • Lead the design and development of complex AI models, ensuring they are scalable, reliable, and effectively integrated into our products in close collaboration with engineering and machine learning operations (MLOps) teams., • Independently lead deep-dive investigations into model behavior, data quality, and performance anomalies to ensure the ongoing quality and impact of models in production., • Drive technical excellence and standards across the team by contributing to best practices, performing high-impact code reviews, and serving as a senior technical resource for complex challenges., • Contribute to the longer-term technical and modeling strategy by evaluating and championing new methods, tools, and architectures relevant to the product roadmap., • Clearly communicate strategic insights, model findings, and recommendations to senior management, clinical experts, and other stakeholders. Position Summary Join our small a fully remote healthcare technology company, revolutionizing care delivery through the practical application of clinical AI. We enable clinicians to detect problems before they become life-threatening and ensure world-class care for patients everywhere. Our platform provides AI-enabled software solutions that deliver specific and measurable clinical value propositions and financial benefits to our customers, which include health systems and life sciences companies. As a Data Scientist, you will play a pivotal role in developing our software products, specifically our Clinical AI, for healthcare provider organizations and life sciences companies. Skills predictive analytics, Python, Machine learning, Data science Top Skills Details predictive analytics,Python,Machine learning,Data science Additional Skills & Qualifications • Master's degree or PhD in computer science, data science, statistics, biomedical engineering, or a related field., • At least 5 years of experience in data science, machine learning, or deep learning, preferably in the healthcare domain., • Proficient in Python and common data science libraries and frameworks, such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc., • Strong understanding of the end-to-end model development lifecycle, including best practices for version control, experimentation, and validation., • Experience developing and deploying AI models using a major cloud platform. Experience with Google Cloud Platform (GCP) is strongly preferred., • Experience with Natural Language Processing (NLP) and modern transformer-based architectures is a significant plus., • Knowledge of clinical data standards, such as OMOP, FHIR, DICOM, etc., • Familiarity with clinical terminologies, such as ICD, SNOMED, LOINC, etc., • Strong analytical, problem-solving, and critical thinking skills., • Excellent communication, presentation, and collaboration skills., • Passion for improving healthcare outcomes and making a positive impact on society. Experience Level Expert Level Job Type & LocationThis is a Permanent position based out of New York, NY. Pay and BenefitsThe pay range for this position is $150000.00 - $170000.00/yr. Zero-Premium Coverage: Comprehensive medical, dental, and vision insurance with $0 out-of-pocket costs. Time Off: Open, unlimited paid time off (PTO) to manage personal rest and schedules. Work-Life Balance: "No meeting Fridays" to allow team members uninterrupted focus and a head start on the weekend. Family Support: Paid parental leave for new parents. Financial Wellness: A 401(k) retirement plan to help build long-term savings. Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Jun 19, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Posting Type Hybrid/Remote Job Overview The Senior Manager of Enterprise Security is a technical people leader responsible for developing, implementing, operating, and continuously optimizing a multi-layered security ecosystem across corporate, cloud, and product environments. This role drives a defense-in-depth strategy, embeds security into AI-augmented SecDevOps and continuous compliance programs, and leads a living, learning, and adaptive security function that evolves with the threat, regulatory, and business landscape. In partnership with Engineering, IT, Legal, and Governance, Risk, and Compliance, this leader translates security strategy into measurable outcomes that scale with the business. Job Description and Requirements Defense in Depth & Security Operations Architect and own thetactical execution ofenterprise defense-in-depthstrategy aligned with security strategic intent: define layered controls across network, endpoints, identity, cloud workloads, and data,witheffective layeredcontrols at every tier and coverage mapped torelevant frameworks. Design and operate an integrated detection stack (EDR, NDR, CDR, SIEM/SOAR) with AI-enabledUEBA, ML-based alert prioritization, and automated enrichment to reduce MTTD and MTTRand increase defense in depth efficacy. EnforceadaptiveZero Trust principles (ZTNA, least-privilege micro-segmentation, phishing-resistant MFA/FIDO2, JIT access) and SASE/SSE architecture across all access paths. Ensure configuration and implementation of hardeningstandards using CIS Benchmarks/DISA STIGs with automated compliance validation, and maintain IR playbooks covering ransomware, supply chain compromise, cloud account takeover, and AI/ML model poisoning. AIDevSecOps & Secure Development Build and operate an AI-augmentedDevSecOps program: embed SAST, DAST, SCA, secret scanning, IaC analysis, and container image securityinto CI/CD pipelines with AI-generated fix recommendations surfaced in PR workflows. Deploy AI-assisted threat modeling, exposure analysis and exploit validation methodsand establishgenerative and agentic AI security &governancemethodologies. Run a security champions program embedding technical advocates in engineering teams to own secure coding standards, security debt backlog management, and threat model participation. Cloud, Vulnerability & Threat Intelligence Lead, implement and optimize cloud securityprograms across multi-cloud environments with automated drift detection, policy-as-code enforcement, and runtime workload protection. Run a risk-basedexposuremanagement programwiththreat intelligencecontext to prioritize remediation SLAs; operate continuous ASM. Integrate threat intelligence (OSINT, commercial feeds, ISAC) intopurple teaming efforts andconduct or overseepurple team engagements mapped toevolving threat landscape. Governance, Strategy & Collaboration Define and track security KPIs grounded in technical outcomes: patch SLA compliance, control coverage heat maps, mean dwell time, lateral movement detection rates, and pipeline gate trends. Work with the information security GRC function to adapt and evolvesecurity policies, technical standards, and control baselines aligned toSOX,SOC 2, ISO 27001, HIPAA, GDPR, and CCPA;to hedge risk associated with evolving regulatory landscape. Partner with Compliance and Legal on audits, certifications, e-discovery, and forensic integrity requirements; translate technical risk into quantitative business impact using frameworks such as FAIR. Serve as a trusted technical advisor to executives and architects; embed security into technology roadmaps, M&A due diligence, and vendor risk assessments. People Management Responsibilities • Builds, coaches, and retains a high-performing, technically elite security team. Creates an environment of psychological safety, accountability, and engineering excellence with clear career paths spanning technical specialization and leadership. Drives structured performance management, proactive talent development, and inclusive leadership practices to keep the team motivated and equipped to deliver exceptional outcomes. Minimum Qualifications: Bachelor's degree in Computer Science, Information Security,a related field,orequivalent hands-on experience considered. 10+ years in enterprise or product security with 4+ years in a senior technical leadership role owning multi-domain programs. Hands-on technical depth:network security, detection engineering, incident response, endpoint management, custom scripting and telemetry engineering Proven defense-in-depth/ layered defensedesign experience: evaluating and improving layered control effectiveness across network, endpoint, identity, cloud, and application domains. Practical experience with AI-augmented security: ML-based detection, SOAR automation, or AI-integrated DevSecOps pipelines. Mastery of NIST CSF, MITRE ATT&CK, CIS Controls, Zero Trust (NIST SP 800-207), and cloud security frameworks (AWS, Azure, or GCP). Demonstrated ability to communicate technical security risk and architectural trade-offs to both technical peers and executive audiences. Hybrid (2+ days in office) or remote based on company policy. Preferred Qualifications: Experience securing SaaS, cloud-native, or globally distributed regulated environments. Familiarity with legal technology, e-discovery, litigation holds, and digital forensics chain-of-custody requirements. Experience with LLM/AI security: prompt injection, model poisoning, AI output validation, and governance for AI-assisted code generation. Scripting and automation skills (Python, Bash, PowerShell) applied to detection engineering, tooling integration, or compliance automation. Certifications such as CISSP, CISM, OSCP, GCIH, GCFA, CCSP, or AWS Security Specialty. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $185,000 and $277,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Access Management, Defense in Depth, Network Security, Project Management, Risk Management, Security Architecture Design, Security Audit, Security Awareness, Security Engineering, Security Operations, Vulnerability Management

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Work on intelligent systems that operate in one of the most highstakes domains, where trust, reliability, and defensibility truly matter. Agentic AI at Scale • Build and extend AI systems that reason across millions of documents, cite their decisions, and automate complex legal workflows. Scientific Rigor and RealWorld Impact • Apply deep experimentation and statistical validation to systems that ship to real customers and influence real outcomes. Leadership and Growth • Lead technically while continuously learning in a thoughtful, supportive, and intellectually rich Applied Science organization. Collaborative Culture • Join a team that values kindness, curiosity, technical excellence, and shared ownership of outcomes. Compensation and Benefits • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

At Stout, we're dedicated to exceeding expectations in all we do - we call it Relentless Excellence . Both our client service and culture are second to none, stemming from our firmwide embrace of our core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators. Sound like a place you can grow and succeed? Read on to learn more about an exciting opportunity to join our team. Impact You'll Make Stout is looking for Directors to support our Business & Professional Services practice and join our growing firm. At Stout, expectations are high but empowering. You will lead teams in delivering value to our clients. You will have direct access to Stout's leadership and key client decision makers. Your ideas will be heard, and your thoughts valued as we help clients grow and drive strategic advantage. Quite simply, you will get the developmental benefits of big firm clients with the high touch of a boutique culture. What You'll Do Directors are integral to our success. You will be responsible for developing more junior team members on projects and empowering the leadership team's account strategies. You will also be a key driver in structuring and delivering strong work to our exclusive list of corporate clients and private equity firms, including a mix of mega-funds and middle market investment groups. You will directly support our client's investment decisions via a mix of due diligence initiatives and growth strategy engagements. More specifically, you will: • Drive Private Equity and/or M&A-related project processes from start-to-finish ensuring output meets Stout's standards for quality of insight and client impact, • Support the analysis of marketplace trends to identify opportunities, support the development of investment theses, and to inform decision-making for Stout clients, • Develop thoughtful approaches, work plans, and frameworks to guide organizations with inorganic strategies (including buy-side and sell-side diligences), • Manage the development of and/or validation of financial, commercial, and strategic assumptions for both corporate and financial buyers, • Oversee and conduct original research, contact development, primary intelligence, and executive-level interviewing to develop unique insight regarding market dynamics and strategic decisions, • Oversee and support the development of best-in-class materials that exceed client expectations (in terms of research depth, analytical rigor, and visualization), • Partner with clients on engagements by cultivating a collaborative environment and providing high-touch service, • Develop mastery of Stout Strategy's research, analytical approaches, and Private Equity expertise in key client industries, • Coach and nurture junior staff and provide team members with developmental and fulfilling opportunities on projects, • Act as a role model for junior staff by embodying Stout's values What You Bring • BA or BS required with a clear track record of academic excellence in fields such as Economics, Business, Finance, or Data Science, • Master's degree in business, management, finance, or other relevant degree preferred, • Seven to ten years of prior experience in consulting and/or industry experience, including experience in providing commercial due diligence and other transaction-related services to private equity fund clients, • An aptitude for networking and executive-level interviewing, plus knowledge assessing a target company's quality of earnings and cash flows, • Well-honed business acumen and analytical skills, • Strong communication, writing, and critical-thinking skills, • Work ethic, dedicated, organized, detail-oriented, and accountable, • Time management and multitasking abilities in a fast-paced, deadline-driven environment, • Advanced skill set in Microsoft Office, including PowerPoint and Excel, • Experience with other analytics tools (e.g., Tableau, R, Python), including modeling and statistical data analysis, • Aptitude and/or experience in financial modeling and statistical data analysis, • Foreign language capabilities are a plus How You'll Thrive • Take full ownership of engagements, driving clarity, accountability, and high-quality outcomes from kickoff through final delivery, • Lead with confidence in ambiguous, fast-paced environments, structuring complex problems into actionable insights for senior decision makers, • Build trusted relationships with clients by combining strategic thinking, commercial acumen, and responsive, high-touch service, • Develop and empower team members through proactive coaching, clear feedback, and meaningful delegation of responsibility, • Contribute to practice growth by supporting account expansion, proposal development, recruiting, and continuous improvement of research methodologies Why Stout? At Stout, we offer a comprehensive Total Rewards program with competitive compensation, benefits, and wellness options tailored to support employees at every stage of life. We foster a culture of inclusion and respect, embracing diverse perspectives and experiences to drive innovation and success. Our leadership is committed to inclusion and belonging across the organization and in the communities we serve. We invest in professional growth through ongoing training, mentorship, employee resource groups, and clear performance feedback, ensuring our employees are supported in achieving their career goals. Stout provides flexible work schedules and a discretionary time off policy to promote work-life balance and help employees lead fulfilling lives. Learn more about our benefits and commitment to your success. _ The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job. Stout is an Equal Employment Opportunity.All qualified applicants will receive consideration for employment on the basis of valid job requirements, qualifications and merit without regard to race, color, religion, sex, national origin, disability, age, protected veteran status or any other characteristic protected by applicable local, state or federal law. Stout is required by applicable state and local laws to include a reasonable estimate of the compensation range for this role. The range for this role considers several factors including but not limited to prior work and industry experience, education level, and unique skills. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $145,000.00 - $300,000.00 Annual. This role is also anticipated to be eligible to participate in an annual bonus plan. Information about benefits can be found here - https://www.stout.com/en/careers/benefits.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases, • Develop tools and processes to create data pipelines for ML training and customization, • Finetune LLMs for the healthcare domain, • Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Document and communicate research and development processes, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • PhD in AI, Machine Learning or Computer Science preferred, • Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development, • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc., • Strong proficiency in Python and familiarity with ML libraries such as PyTorch., • Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc., • Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.)., • Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Good written communication skills that enable collaboration in a remote environment., • Experience in healthcare or life sciences is a plus. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,500 USDNew York, NY Salary Range$180,400—$225,500 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

Overview This is a hybrid role with the expectation that time working will regularly take place inside and outside of a company office based in NY, NJ, CA, AZ, MA, IL FL, GA, TX, NC. First Citizens Aerospace, Defense & Government-part of the Commercial Finance group-delivers asset-backed lending solutions for commercial aircraft, engines, and parts, along with cash flow financing for manufacturers, service providers, and private equity sponsors across the sector. With over 20 years of specialized expertise, the team is recognized for its deep industry knowledge, strong client relationships, and disciplined execution. We are seeking a highly skilled professional to join our team and support continued growth in this dynamic and specialized market. Position Overview The Vice President, Underwriting Portfolio Manager is responsible for both underwriting and portfolio management of ADG financing transactions. This role includes evaluating, monitoring, and optimizing portfolio performance while ensuring compliance with regulatory requirements and market conditions. The VP will lead analysis, reporting, and asset management activities to maximize value and minimize risk, while communicating portfolio insights to key stakeholders through reports, dashboards, and presentations. Responsibilities Underwriting • Lead the underwriting of credit transactions in accordance with established policies and regulatory standards, • Partner directly with clients to gather and assess financial and operational information, • Analyze financial statements and performance to determine creditworthiness and repayment capacity, • Recommend credit structures, risk ratings, covenants, and loan terms, • Communicate underwriting progress and outcomes to internal and external stakeholders, • Provide leadership and expertise in credit analysis and underwriting execution Portfolio Management • Drive portfolio performance through strategic transaction recommendations and execution, • Ensure appropriate liquidity is maintained to support balance sheet growth, • Monitor portfolio risk and confirm that transactions align with acceptable risk levels, • Support stress testing, model validation, and ongoing assumption updates, • Develop and present reports for management and regulatory stakeholders on portfolio composition, returns, and risk Financial Analysis • Conduct detailed financial and market analysis to support loan structuring and approvals, • Compile and interpret borrower data, industry trends, and collateral valuations, • Assess key risks and mitigants to develop a comprehensive view of borrower performance, • Apply analytical insights to support underwriting of complex financing structures Risk Management • Identify and evaluate risks across new and existing credits, • Collaborate with internal partners to resolve risk-related issues, • Manage credit review and renewal cycles, ensuring timely and thorough evaluations, • Support development and execution of portfolio risk management strategies Qualifications Required • Bachelor's degree with 6+ years of experience in credit analysis, underwriting, or risk management OR • High school diploma/GED with 10+ years of relevant experience Preferred • Bachelor's degree in Business, Finance, Economics, or related field, • 8 years of experience in commercial banking, asset-based lending, corporate lending, or investment banking, • 4 years of experience in aviation or aerospace lending, • Experience structuring bilateral, syndicated, and asset-backed (collateralized) financing transactions, • Formal credit training program completion If hired in New York or San Francisco, California, the base pay for this position is generally between $145,000.00 and $185,000.00. If hired in Illinoin or Texas, the base pay for this position is generally between $138,000.00 and $163,000.00 . If hired in New Jersey, Los Angeles, Santa Monica or Massachusetts the base pay for this position is generally between $151,000.00 and $178,000.00. If hired in Florida, Georgia, North Carolina or Arizona, the base pay for this position is generally between $132,000.00 and $155,000.00. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment. #LI-NK1 Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the_ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. The Programmatic Ads team integrates with external demand partners (DSPs, SSPs, etc) through OpenRTB. We drive performance optimization (latency, conversion, engagement, fill rate, etc) for our programmatic ad products. We are also responsible for building internal tools to better enable cross-functional teams. What you'll do: • Lead one or two partner integrations, and work closely with product managers, data scientists, other cross-functional teams, and external partners to understand business requirements and translate them into technical solutions., • Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality., • Independently drive the full software development lifecycle, including ideation, technical design, prototyping, development, and release., • Independently drive problem-solving and product iterations by utilizing A/B testing., • Establish and maintain a high standard for technical excellence and production quality., • Mentor junior engineers on the team and provide design and coding feedback. What we're looking for: • Bachelor's degree in computer science, a related field or equivalent experience, • 8+ years of hands-on backend software engineering experience in large-scale distributed systems., • Passion for working on ad products work., • Excellent communication and stakeholder alignment skills., • Strong problem-solving skills and analytical mindset, with the ability to use data to guide decisions, • Experience with ad serving platform, ad exchange, supply-side platform, or demand-side platform., • Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes., • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)., • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables., • Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate). In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration twice a month, therefore needs to be in a commutable distance from the Seattle, San Francisco, Palo Alto, OR NYC office. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-HYBRID #LI-AG8 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found _. US based applicants only$208,454—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete_ for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Delivery Leader Job Title: Technical Delivery Managers< Role Summary< The end-to-end delivery of technical projects bridges the gap between business stakeholders and technical teams. They manage project scope, timelines, budgets, and risk while ensuring high-quality software, infrastructure, or data solutions. They focus on engineering excellence, process optimization, and team leadership to drive project success < Key Responsibilities< Technical Delivery Ownership - Location (NY/NJ) - Onsite< Own day‑to‑day technical delivery across AML/Actimize workstreams< Translate program‑level plans into detailed technical execution plans< Manage delivery of:< Actimize configuration and customization< Data ingestion and integration< Interface development and batch/real‑time processing< Ensure technical deliverables meet functional, performance, and compliance requirements< Actimize Platform Leadership < Act as the technical subject‑matter lead for NICE Actimize implementations, including:< IFM (Integrated Financial Messaging)< Transaction Monitoring< CDD / KYC< Watchlist Filtering< Guide teams on Actimize:< Architecture< Data models< Rules, typologies, and scenarios< generation and workflows< Support tuning, threshold optimization, and performance improvements< Engineering & Integration Management< Manage technical teams across:< Java / Actimize development< ETL / data engineering< Database and performance tuning< Oversee integrations with:< Source systems (payments, core banking, customer data)< Upstream and downstream AML systems< Ensure data quality, completeness, and lineage for regulatory traceability 4. Environment, Release & Production Readiness ·· Own and manage: ·· Dev, Test, UAT, and Production environments ·· Release planning, cutover, and deployment activities ·· Drive production readiness including: ·· Capacity planning ·· Performance testing ·· Batch monitoring and controls ·· Partner with infrastructure and support teams to ensure system stability 5. Quality, Risk & Issue Management ·· Enforce technical standards, best practices, and SDLC compliance ·· Proactively identify and mitigate: ·· Technical risks ·· Data issues ·· Performance bottlenecks ·· Lead root cause analysis and resolution of defects and production issues ·· Ensure strong documentation for audit and regulatory review 6. Stakeholder & Cross‑Functional Collaboration Work closely with: Business analysts< Compliance and AML operations< QA and UAT teams< Communicate technical progress, risks, and dependencies to:< Program Director< Client technology leadership< Support regulatory, audit, and model validation inquiries from a technical standpoint< 7. Team Leadership & Mentoring< Lead and mentor technical team members onsite< Provide hands‑on guidance and code/design reviews when needed< Ensure team productivity, accountability, and delivery quality< Support onboarding and ramp‑up of new technical resources< Required Qualifications< Experience< 12+ years of IT experience in Financial Services< 5+ years managing technical delivery for AML or Financial Crime programs< Strong, hands‑on experience with NICE Actimize (mandatory)< Proven experience in:< System integration< Data‑intensive platforms< Large enterprise environments< Technical Skills< Deep understanding of:< Actimize architecture and components< AML transaction monitoring systems< Financial services data (payments, customer profiles, transactions)< Strong background in:< Java / J2EE< UNIX / Linux< SQL / Oracle / relational databases< Batch scheduling and monitoring< Experience with data quality, reconciliation, and controls< Soft Skills & Leadership< Strong delivery ownership and execution mindset< Excellent communication with both technical and non‑technical stakeholders< Ability to operate effectively in high‑pressure, regulatory environments< Strong problem‑solving and decision‑making skills< Comfortable reporting into a senior Program Director< Education< Bachelor's degree in computer science, Engineering, or related field ·· Master's degree preferred but not mandator About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Equal Opportunity Employer: Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .< Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request. New York12 - 18 Years10H21-Apr-2026YACTIVE117999-7-3

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications will be accepted until 06/18/2026. About the Role The Director of Product Operations & Delivery leads the capability that bridges business process and product execution across Digital Enterprise Technology. This role exists to serve as a key thought leader in the product management evolution on our agentification journey, coordinate the establishment of structured frameworks for product and software development within our tool set, and provide a product operations function within large-scale/"big rock" initiatives. As a senior leader, you'll build and develop a high-performing team while serving as a trusted partner to Product, Engineering, Finance, and Change Management leaders across the organization. What You'll Be Doing Build, lead, and develop the Product Operations & Delivery organization - including hiring strategy, role definition, performance management, and career development Define and continuously evolve the operating model for requirements intake, backlog governance, quality standards, and delivery readiness criteria across DET Establish best practices and structured approach with the tools used for Product Development Life Cycle and Software Development Life Cycle Evolve agentification and AI tool enablement to the team and program operating model Help drive the definition of product requirements intake and prioritization within program structures Translate high-quality, delivery-ready requirements - reducing rework, accelerating delivery, and improving adoption at scale Partner with Process Engineering & Optimization (PEO) leadership to ensure as-is and to-be business process changes are accurately translated into product-ready requirements Serve as a trusted advisor to senior business and technology leaders, providing clarity, recommendations, and tradeoff decisions related to requirements strategy, delivery readiness, and execution risk Establish enterprise standards for requirements quality, traceability, acceptance criteria, solution validation, UAT support, and release readiness Proactively identify and mitigate delivery risks, dependencies, and readiness gaps related to requirements quality, process change, or stakeholder alignment Define and track KPIs for requirements quality, delivery readiness, rework reduction, delivery predictability, and business adoption Represent Product Operations & Delivery in senior forums, driving alignment across business, product, and delivery stakeholders What We're Looking For Required Qualifications 8+ years of experience in Product Management, Business Analysis, Product Delivery, or related disciplines 3+ years of people leadership experience building and managing high-performing teams 5+ years of executing major product-centric initiatives Strong expertise in Agile / Scrum and product delivery operating models Proven experience translating business processes into scalable product requirements Deep experience with execution management tools (e.g., JIRA, GUS, Airtable or equivalents) Excellent written and verbal communication skills, with demonstrated ability to influence senior business and technology leaders Preferred Qualifications Experience in SaaS, cloud platforms, or large-scale enterprise technology environments Proficiency in using AI enablement tools (e.g., Claude Code, Gemini, or equivalents) Familiarity with Confluence, Miro, or similar collaboration and documentation tools Strong understanding of the software development lifecycle (SDLC) and testing practices Experience supporting large-scale business transformation or operating model change * A related technical degree Why Join? This is a rare opportunity to build something from the ground up - defining how an enterprise technology organization captures, translates, and delivers on its most important business needs. You'll work at the intersection of strategy and execution, with the visibility, scope, and leadership support to make a lasting impact on how DET operates. You'll be surrounded by people who care deeply about quality, inclusion, and getting things right. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Position Summary The Innovation & Delivery Transformation team is building the future of our business. This is the group responsible for identifying, nurturing, scaling, and ultimately winning in new markets with new capabilities. We don't rely on what the firm has always done - we look to the future and invest where we know the growth will be 3, 5, 10 years down the road. The Innovation & Delivery Transformation Team collaborates with Industries, Offering Portfolios, Growth, and Delivery Transformation to curate and scale our Innovation Portfolio, grow through our Strategic Growth Offerings, identify and incubate the next generation of technology through our Technology Offices, and more. Together we are dedicated to fostering a top talent experience both within I&DT and throughout our firm by leading our Tech Talent Transformation. Within IDT, our Life Sciences Cloud (LSC) practice is launching a Managed Platform as a Service (MPaaS) offering - a comprehensive solution that bundles our proprietary QuickStarts platform with ongoing managed services to deploy, run, maintain, and continuously evolve client CRM environments. Unlike traditional project-based consulting, this offering is product- and operations-led: IDT owns the platform baseline, the delivery model, and the long-term client relationship. The Delivery Manager sits at the center of that mandate, managing a portfolio of biopharma client engagements, leading a team of direct reports, and serving as the primary authority for client governance, delivery oversight, and the ongoing evolution of client instances built on the QuickStarts baseline. Recruiting for this role ends on 08/01/2026. What You'll Do Client Governance & Executive Relationship Management Own delivery governance across a portfolio of active MPaaS client engagements, serving as the primary point of accountability for each Lead executive-level client relationships, facilitating steering committee meetings, status reviews, and strategic planning sessions Manage escalation pathways, proactively identifying risks and resolving delivery issues before they impact client outcomes Define and report on SLAs, KPIs, and operational health metrics, ensuring transparency and trust with client stakeholders Partner with Deloitte account leadership to support contract performance and client satisfaction within the managed service model Delivery Oversight Own end-to-end delivery accountability across the full MPaaS lifecycle: Deploy, Run, Maintain, and Evolve Oversee team execution across all phases including environment setup, configuration, testing, UAT, cutover, hyper-care, and steady-state operations Enforce the 90/10 delivery model - ensuring client instances remain aligned to the QuickStarts baseline while managing approved customizations within defined guardrails Drive release planning and coordinate 3x annual value-driven platform releases, aligning client readiness with new agentic and AI capabilities Maintain delivery rigor across risk registers, testing and validation approaches, integration execution, and documentation/training deliverables Team Leadership Directly manage and develop a team responsible for: Setting up client environments and deploying the QuickStarts package Tailoring configuration within the 90/10 delivery model Supporting testing, UAT, cutover, and hyper-care activities Running ongoing maintenance, releases, upgrades, and user support Performing operational data loads and client-specific enhancements Mentor team members and actively support their career growth within IDT and the broader LSC practice Participate in hiring and onboarding as the MPaaS offering scales across new clients and geographies Product Feedback & Platform Evolution Serve as a direct input channel into the QuickStarts product roadmap, translating patterns and pain points observed across the client portfolio into actionable product feedback Collaborate closely with the QuickStarts Product Lead to align platform capabilities with real-world delivery needs Help shape delivery methodology, operational playbooks, and toolkits as the MPaaS offering matures A strong successful candidate will possess these skills: Familiarity with emerging technologies such as Agentic AI, GenAI etc..and how delivery is evolving using these technologies Experience operating within or delivering managed services or subscription-based delivery models Working knowledge of the broader Life Sciences commercial technology ecosystem, including platforms such as Veeva Vault PromoMats, MuleSoft integration tooling, Cvent, Knipper, and other populate CRM integrations a plus Domain experience in biopharma or medtech commercial operations; experience in clinical or patient-facing contexts is a plus Experience contributing structured feedback to product or platform roadmaps based on delivery insights Experience directly managing people, including performance development, coaching, and team building Demonstrated ability to manage multiple concurrent client engagements or workstreams simultaneously The Team This role is aligned with our ConvergeHEALTH business, serving Deloitte's Life Sciences Sector by advancing research and development initiatives. ConvergeHEALTH is dedicated to creating digitally connected ecosystems through robust analytics platforms, immersive experiences, strategic industry partnerships, and premier consulting services, all with the unified vision of centering healthcare around patient needs. Qualifications Required Bachelor's Degree or equivalent experience Minimum 8+ years of professional experience in consulting, managed services, or a relevant Life Sciences industry role At least 3 years of experience leading client-facing delivery, including governance, executive relationship management, and escalation management At least 3 years of hands-on experience with Veeva CRM or equivalent Life Sciences commercial platforms (e.g., Salesforce Health Cloud, OCE), across personas such as Field Sales, Key Account Management, Medical Science Liaisons, or Field Reimbursement Management Ability to travel 25%, based on work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353905 Job ID 353905

Qualifications Required Must be located in the central, southern, or eastern region Must have experience delivering financial services projects and have recent partnerships within the global finance industry 12+ years of experience leading largescale technology or transformation programs, with at least 5 years in a senior delivery leadership role. Proven success delivering multitower programs across infrastructure, cloud, security, or application domains. Strong executive presence with the ability to influence senior stakeholders and lead complex governance structures. Deep understanding of delivery methodologies (Agile, hybrid, waterfall), PMO governance, and operational frameworks. Demonstrated financial acumen including P&L ownership, forecasting, and commercial management. Experience leading large, matrixed teams across consulting, engineering, and operations. Preferred Experience at a Big 4 or toptier consulting firm. Familiarity with WWT's core technology partners (Cisco, Dell, NetApp, VMware, AWS, Microsoft, Google, Palo Alto, F5, etc.). Industry expertise in sectors such as energy, healthcare, financial services, or service provider. Advanced degree (MBA, MS) or relevant certifications (PMP, SAFe, ITIL, cloud certifications). Success Profile A successful Technical Delivery Manager at WWT demonstrates: Strategic thinking with the ability to translate vision into execution. Strong fluency across WWT's business lines. Calm, confident leadership under pressure. Exceptional communication and stakeholder management skills. A bias for action, accountability, and measurable outcomes. A commitment to quality, integrity, and continuous improvement. Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $190,000 - $220,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that are not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email taposting@wwt.com. #LI-MP2 #LI-AF1 #LI-Remote Sr. Technical Delivery Manager Location Requirement: New York, Philadelphia, Washington DC (or surrounding areas) Onsite requirement 2-3 times per month in New York City Global Financial experience needed Why WWT At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering Team and why join? Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Overview The Senior Technical Delivery Manager is a leader responsible for orchestrating end-to-end delivery across WWT's full portfolio of services. This role ensures operational excellence, drives measurable business outcomes, and serves as the executive point of accountability for delivery quality, financial performance, customer satisfaction, and growth enablement within our largest and most strategic accounts. The ideal candidate brings deep consulting rigor, technical fluency, and strong executive presence to the role. Key Responsibilities Client Leadership & Relationship Management Serve as the executive delivery leader and trusted advisor for strategic accounts across WWT. Build and maintain long-term relationships with client executives, ensuring alignment between WWT's capabilities and client priorities. Lead executive governance, steering committees, and quarterly business reviews. Anticipate client needs, identify risks, and proactively shape solutions that strengthen the client partnership. Program & Delivery Oversight Provide end to end oversight of complex, multitower programs spanning: Infrastructure modernization (networking, compute, storage, data center) Multi-cloud architecture, migration, and operations (AWS, Azure, GCP) Security architecture, zero trust, SOC modernization, and threat operations Application development, modernization, and DevOps Digital workspace, collaboration, and end user experience Automation, AIOps, observability, and platform engineering Integrate delivery across WWT's ATC labs, integration centers, consulting teams, and OEM/ISV partners to ensure seamless execution. Establish and maintain program governance, KPIs, dashboards, and quality standards consistent with delivery expectations. Drive risk management, issue resolution, and cross functional alignment across engineering, consulting, supply chain, and partner teams. Presales & Growth Enablement Partner with Account Managers, Client Directors, and Consulting Services leadership to shape opportunities across WWT's portfolio. Translate client business challenges into actionable solution architectures, delivery approaches, and execution roadmaps. Lead or support pre-sales activities including scoping sessions, solution workshops, ATC briefings, and executive presentations. Develop high quality Statements of Work (SOWs), delivery models, estimates, and risk assessments that balance client value with delivery feasibility and commercial viability. Serve as the delivery voice in deal shaping, ensuring commitments made during presales can be delivered with excellence and profitability. Contribute to account planning, pipeline development, and identification of expansion opportunities within existing programs. Financial & Commercial Management Own financial performance for assigned accounts or programs, including revenue, margin, forecasting, backlog, and cost management. Ensure delivery is aligned with contractual commitments, profitability targets, and WWT's commercial frameworks. Manage commercial constructs including SOWs, MSAs, change orders, consumption based models, and managed services engagements. Partner with sales and account leadership to identify and pursue growth opportunities across consulting, integration, and technology services. People Leadership Lead, mentor, and develop high performing delivery teams across consulting, engineering, PMO, and operational functions. Foster a culture of accountability, collaboration, innovation, and continuous improvement. Model WWT's core values and commitment to diversity, equity, and inclusion. Operational Excellence & Innovation Champion delivery best practices across WWT's consulting, engineering, and integration capabilities. Leverage WWT's Advanced Technology Center (ATC) to accelerate solution validation, prototyping, and customer innovation. Promote automation and modern delivery models to improve efficiency and outcomes. Drive standardization and scalability across engagements while tailoring approaches to client context. Ensure compliance with WWT's risk, quality, and security standards.

Job Description Job Title: Peer Bridger - Peer Bridger Program - Mount Sinai West - Full Time - Day The purpose of the Peer Bridger is to provide essential bridging between the Emergency services delivered during the crisis, a more lasting services over the longer term. Responsibilities for both these positions include participating in collaboration and coordination meetings, delivering recovery strategies, responding to patient emergencies as needed, as well as providing a direct link to service providers Responsibilities • Offers hope through connection and engagement on what is possible., • Supports individuals in connecting or reconnecting to their community and relationships., • Connects to and support individuals in various stages of navigation from CPEP to community based on identified needs and requests for support., • Provides validation and support through person centered approaches and engagement., • Advocates when requested by the individual., • Assists in the development of comfort around self-advocacy., • Demonstrates personal self-help and wellness skills., • Shares known resources and knowledge on system navigation., • Serves as a mentor when appropriate on wellness and recovery., • Assists in the exploration of personal goals that lead to life satisfaction., • Engages in shared decision making with individuals to support voice and choice in all treatment decisions., • Utilizes evidence-based peer interventions such as Action Planning for Prevention and Recovery, Shared Decision Making, Psychiatric Advanced Directives, Building Recovery Capital, and the Eight Dimensions of Wellness., • Conducts informational groups for CPEP staff about the benefits of working with Peer Bridger., • Works collaboratively with the team to educate all involved on recovery, self-determination, shared decision making, dignity of risk, and peer values. *This position will work out of Mount Sinai Rivington Behavioral Health Center, located at 45 Rivington Street New York, NY 10002. Qualifications Education Requirements • Hold current/active New York Peer Certification., • New York Certified Peer Specialist, Provisional (NYCPS-P)., • New York Certified Peer Specialist (NYCPS)., • New York Certified Recovery Peer Advocate (CRPA)., • Credentialed Family Peer Advocate (FPA-C)., • Credentialed Youth Peer Advocate. Experience Requirements • Demonstrate ability to navigate community resources., • Ability to model, facilitate, and convey the message that healing is possible and probable., • Exhibit oral, reading, writing, and computer skills with basic knowledge in applications such as Microsoft Office: Teams, Word, Power Point, Excel, Outlook., • Demonstrate excellent interpersonal and communication skills with ability to work independently and as part of a team, • Ability to maintain confidential information as related to position, always maintaining transparency with any limits that are identified., • Healthcare and/or Behavioral Healthcare experience preferred., • Formal training as Peer or equivalent work experience. Non-Bargaining Unit, RAR - Peer Bridger Program - WST, Mount Sinai West About Us Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

About DeepWalk DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms. In the past year, we’ve processed thousands of miles of sidewalk across 20+ states, generating millions of labeled data points used in real-world infrastructure decisions. We’ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America. Staff Software Engineer — Computer Vision Platform $150,000 – $190,000 base salary + equity · Remote We’re hiring a Staff Software Engineer to lead the technical direction of DeepWalk’s computer vision platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data. We’re specifically looking for engineers who have built and operated computer vision or ML systems in production at scale (not just research or prototyping). You’ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure. In this role, you’ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with. Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. What You’ll Do As a Staff Engineer at DeepWalk, you’ll have significant ownership over both the systems we build and how we build them. You will… Own the lifecycle of our computer vision models, including training, evaluation, deployment, and iteration Improve model performance in real-world conditions (noise, edge cases, data drift) Design and improve data pipelines that process thousands of miles of sidewalks and millions of images Lead architectural decisions for handling hundreds of terabytes of geospatial and visual data, including storage layout, pipeline reliability, and inference performance Set and evolve best practices around deployment, observability, system reliability, and scalability Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team Work closely with the CEO and operations team to turn business needs into clear technical priorities What Success Looks Like (First 3–6 Months) Build a strong understanding of our current computer vision systems and data pipelines Identify the biggest scaling, reliability, and maintainability gaps as we grow Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems Become a trusted technical partner to leadership What We’re Looking For Required 6+ years of experience, including direct ownership of production ML or computer vision systems (training, deployment, and ongoing operation) Experience taking models from training → production → monitoring → iteration in a real-world environment Experience owning system architecture and influencing technical decisions across teams Experience deploying computer vision or ML systems in real-world production environments Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.) Strong understanding of system design, scalability, and distributed systems Experience with cloud platforms such as AWS, GCP, or Azure Comfort working in a startup or growth-stage environment with changing requirements Nice to Have Experience with large-scale or real-time data pipelines Infrastructure-as-Code experience (Terraform, CDK, etc.) ML observability, data validation, or model deployment experience Familiarity with geospatial, imagery, or sensor-driven data An interest in urban planning, accessibility, or civic technology Compensation & Benefits $150,000 – $190,000 base salary, based on scope and experience Equity Unlimited PTO (most of our team takes 3–4 weeks per year) Health insurance 401(k) with ~4% match (100% on first 3%, 50% on the next 2%) DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees. DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status. In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking a highly experienced Senior Software Engineer to design, develop, and upstream-enable Cornelis Networks’ AI communication middleware. This role focuses on distributed AI workloads and enabling/optimizing collective communication libraries (e.g., NCCL/RCCL) over Cornelis Networks’ interconnects. Key Responsibilities • Design and implement performance-critical features for CCL enablement on Cornelis Networks’ fabrics., • Optimize distributed training performance across multi-node, multi-GPU configurations., • Improve GPU communication paths including GPU-direct transfers, IPC, and CPU/GPU synchronization., • Profile distributed AI workloads and identify bottlenecks across the software and hardware stack., • Tune AI frameworks such as PyTorch Distributed, TensorFlow/XLA, JAX, DeepSpeed, and Megatron-LM., • Develop benchmarks and microbenchmarks aligned with real model performance., • Contribute upstream to AI communication and distributed training projects., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Prototype and validate Ultra Ethernet capabilities for AI collective communication., • Provide technical input for deployment considerations and performance validation., • Collaborate with kernel/driver, switch, performance, and systems teams., • Support advanced escalations by analyzing traces and providing robust fixes. Minimum Qualifications • 8+ years of experience in high-performance systems programming in C/C++ on Linux., • Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL., • Ability to optimize distributed training performance using profiling and tracing., • Understanding of collective communication concepts and topology awareness., • Experience delivering production-quality code., • Open-source contributions in relevant areas. Preferred Qualifications • Experience with AI frameworks such as PyTorch Distributed, DeepSpeed, and Megatron-LM., • Familiarity with libfabric/OFI, UCX, and RDMA concepts., • Experience with RoCEv2 and Ultra Ethernet., • Experience building cluster-scale performance test infrastructure. Location: This is a remote position for employees residing within the United States. We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

We are looking for a Senior Backend Engineer to own the systems that transform our unified dataset into application-ready content and robust downstream analytics. This role bridges the gap between core datasets and end-user experiences by building the pipelines, services, and models that make our content discoverable, searchable, analyzable, and operationally reliable. Your work will power both the product and the business: organizing content into application-ready structures; managing fine-grained usage events; building ETLs that support reporting, billing, and analytics; and developing fingerprinting pipelines for deduplication, rights attribution, and safety. You will architect systems that ensure our data remains consistent across ingestion, application surfaces, and downstream consumers. You will collaborate closely with Product, ML Research, Analytics, and Infrastructure teams, working with tools such as BigQuery, Dataflow/Beam, PubSub, and internal microservices. Experience designing data models that support real-time features, retrieval, and analytics is strongly valued. • Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval., • Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs., • Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations., • Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation., • Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments., • Define and track key operational metrics, including latency, completeness, accuracy, and event health., • Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences., • Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights., • Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing., • Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows., • Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics., • Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content., • Proficiency in Python, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)., • Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas., • Experience with event-driven architectures, Pub/Sub, or Kafka-like systems., • Strong understanding of data quality, schema evolution, lineage, and operational reliability., • Ability to design pipelines that balance cost, latency, correctness, and scale., • Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders., • Experience building application-facing APIs or microservices that expose structured content., • Background in information retrieval, indexing systems, or search infrastructure., • Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms., • Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines., • Understanding of batch + streaming architectures and how to blend them effectively., • Experience with Go, Next.js, or React Native for occasional full-stack contributions., • You will design the core data services and pipelines that power our product experience, analytics, and business operations., • You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency., • You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem., • Highly competitive salary and equity, • Quarterly productivity budget, • Flexible time off, • Fantastic office location in Manhattan, • Productivity package, including ChatGPT Plus, Claude Code, and Copilot, • Top notch private health, dental, and vision insurance for you and your dependents, • 401(k) plan options with employer matching, • Concierge medical/primary care through and, • Mental health support from _, • Personalized life insurance, travel assistance, and many other perks Udio’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. Udio provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. This role is eligible for a compensation package of base salary, equity, and benefits. The starting base salary range for this role is $160,000 - $220,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the _ to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. What you'll do: • Implement robust data infrastructure in AWS, using Spark with Scala, • Evolve our core data pipelines to efficiently scale for our massive growth, • Store data in optimal engines and formats, • Collaborate with our cross-functional teams to design data solutions that meet business needs, • Built out fault-tolerant batch and streaming pipelines, • Leverage and optimize AWS resources while designing for scale, • Collaborate closely with our Data Science and Product teams, • How we'll define success:, • Successful implementation of scalable and efficient data infrastructure, • Timely delivery and optimization of data assets and APIs, • High attention to detail in implementation of automated data quality checks, • Effective collaboration with cross-functional teams What we're looking for: • Production data engineering experience, • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala, • Familiarity with data lakes, cloud warehouses, and storage formats, • Strong proficiency in AWS services, • Expertise in SQL for data manipulation and extraction, • Excellent written and verbal communication skills, • Bachelor's degree in Computer Science or a related field, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables, • Nice-to-Haves, • Experience in adtech, • Experience implementing data governance practices, including data quality, metadata management, and access controls, • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data, • Familiarity with data table formats like Apache Iceberg, Delta In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-SM4 #LI-REMOTE

About First Due First Due’s mission is to prevent first responder injury or death by providing fire and EMS agencies with transformative, end-to-end software solutions that empower them to run safer, smarter, and more effective operations. Location: Remote - US Only Country: United States Department: Engineering Reports To: Chin Kuo Position Type: Full-Time Salary: $275,000 This is the top engineering executive under the CTO. The SVP of Engineering is accountable for delivery, quality, productivity, and engineering talent as we scale the platform and the team. The right leader brings the systems thinking to strengthen how engineering operates and the delivery credibility to keep the org shipping through the change. 1. Engineering Delivery • Accountable for product delivery across all engineering teams, • Sets delivery commitments with product leadership and ensures they are met, • Directs the VP of Engineering, who runs day-to-day team execution, • Resolves cross-team dependencies, resourcing conflicts, and escalations 1. Engineering Operating Model • Defines and standardizes how work flows from requirements to development to QA to release, • Reduces friction across teams and improves delivery predictability, • Builds the operating rhythm (reviews, planning cadences, decision forums) that keeps the org aligned 1. AI PDLC Enablement • Operationalizes AI-enabled development workflows across the engineering org, • Integrates structured inputs (EPS, TRD, Task Plan), automation, and validation into the daily flow, • Drives AI PDLC repeatable and scalable, • Centralizes Cursor rule development and usage standards 1. Quality Engineering • Evolves QA into a structured quality engineering function, • Owns test coverage strategy, release confidence, and defect feedback loops, • Existing QA team reports into this role, with a focus on long-term capability building 1. DevOps and CI/CD • Assesses and enhances current CI/CD and deployment processes, • Builds out a formal DevOps capability over time, • Improves deployment efficiency, environment consistency, and observability, • Partners with VP Infrastructure on the underlying platform 1. Platform Engineering • Centralizes the currently distributed group of senior platform engineers, • Builds platform capability as a force multiplier for product teams 1. Engineering Metrics and Visibility • Defines and implements a consistent set of engineering metrics, including cycle time, throughput, defect trends, and delivery predictability, • Creates visibility that supports faster, better decision-making at every level of the org 1. Engineering Talent and Performance • Partners with HR Operations on expectations for engineering roles and signals of strong performance, • Builds structured approaches to performance visibility, team effectiveness, and leadership development, • Plays an active role in executive hiring, leveling, and succession for the engineering org 1. System-Level Improvements • Identifies recurring friction points across teams and designs solutions at the root cause, • Introduces scalable practices, guardrails, and structural changes the org needs as it grows, • Proven executive with experience running engineering at the SVP or CTO level in a growth-stage SaaS company, • Has led a world-wide Engineering team (150+), building a scalable skills and staffing model, • Strong engineering foundation (ideally started as a high-performing individual contributor) with meaningful time in senior leadership, • Has scaled an engineering org through a similar inflection point (roughly 150+ engineers, multiple product areas, growing complexity), • Running both delivery and systems: has held accountability for shipping while also building the underlying operating model, • Building and operationalizing AI-enabled development workflows in a production environment, • Improving developer productivity, DevOps and CI/CD maturity, and quality engineering, • Leading through senior engineering leaders (directors, VPs), not just managing teams directly, • Vertical SaaS, regulated industries, or mission-critical software is a strong plus; public safety experience is an advantage, • Working effectively with founder-led executive teams, • Executive-caliber leader with judgment, presence, and credibility at the ELT level, • Systems-oriented thinker who is also execution-focused, • Direct communicator who can partner across functions, push back when needed, and build trust quickly For US-based Roles All applicants must be authorized to work for any US employer in the United States. Locality Media LLC is unable to sponsor or transition sponsorship ownership of employment visas at this time. Hiring is contingent upon candidates successfully passing a criminal background check. As part of the I-9 verification of authorization to work in the US, Locality Media participates in E-Verify. Physical Demands and Work Environment This role is fully remote with minimal travel expectations at this time. Reasonable accommodation may be made to enable qualified employees and applicants to perform the essential functions as outlined above. If you require an accommodation during the interview process, please reach out to _. Working at First Due First Due offers a comprehensive compensation and benefits package for eligible employees, including competitive pay, medical, dental, and vision coverage, FSA/HSA, 401(k), flexible PTO, a fully remote workplace, a technology stipend, opportunities for advancement, and other benefits and perks that sets our team apart. Visit _ to learn more. If you are a resident of a state requiring wage transparency, please reach out to _ for a reasonable estimate of annual base compensation and any eligible incentive compensation. The actual compensation offered to successful candidates for roles may be higher or lower, based on non-discriminatory criteria including but not limited to relevant professional experience, geographic location, knowledge, skills, and abilities. This range will be reviewed on a regular basis. First Due is an equal opportunity employer. We do not discriminate in any aspect of employment on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status or class. We are committed to promoting an environment of respect, acceptance, diversity and inclusivity, and equal opportunity. Discrimination and harassment of any type in any form will not be tolerated. When you apply for a role at Locality Media, LLC d/b/a First Due, we collect personal information such as identifiers (e.g., name, email, phone number), professional and employment information, education information, and information you provide in your application materials. We use this information to evaluate your candidacy, communicate with you, and manage our recruiting process. We may share this information with our service providers who assist with recruiting and background screening. We do not sell or share applicant personal information for cross-context behavioral advertising. We retain applicant information in accordance with our data retention policies. California residents have rights under the California Consumer Privacy Act (CCPA), as amended by the CPRA. For more information, please review our Candidate Privacy _.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the _ to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We’re looking for a Backend Engineer to help design, build, and scale tvScientific’s contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability. You’ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales. This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach. What you'll do: • Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals, • Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model, • Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems, • Develop APIs and services that serve customers, internal operations teams, and finance stakeholders, • Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions, • Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees, • Improve system observability, reliability, and performance as contract volume and complexity scale, • Own backend services and data models related to contracts and billing, • Lead technical design discussions and make pragmatic architectural decisions, • Write clean, well-tested, and maintainable code with a strong focus on correctness, • Drive improvements in data consistency, validation, and error handling across contract workflows, • Review code and mentor other engineers, setting a high bar for backend quality, • Collaborate cross-functionally to support new deal structures and evolving business models What we're looking for: • Experience with billing/contract mechanisms (specifically affiliate platforms), • Bachelor’s degree in computer science, a related field or equivalent experience, • Experience building large-scale full-stack products., • Deep understanding of web development and best practices in React/Redux, • Strong experience with programming languages Javascript and Python/Java, • Strong software engineering principles and practices, • Strong collaboration and communication skills, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables, • Nice-to-Haves:, • Experience working closely with finance or accounting teams, • Background in building audit-friendly or compliance-sensitive systems In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-SM4 #LI-REMOTE

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior SDTM Programmer Consultant to join one of our clients. Location: NJ/PA - 3 days Hybrid ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. Main Job Tasks and Responsibilities: The Senior Study Data Tabulation Model (SDTM) Statistical Programmer, provides oversight and creation of the SDTM deliverables for analysis and reporting and world-wide regulatory application submissions of drug and vaccine clinical development projects. Accountability predominantly includes creation and validation of study data standard deliverables (SDTM dataset, Define.XML, SDRG, aCRF), collaborating with project teams, outreach to external vendors and partners, and keeping current with industry submission data standards. The incumbent will be responsible for continuous improvement of our electronic submission process for study data standards deliverables and providing tools and templates to assist delivery focusing on traceability, quality assurance, data conformance and data fitness. The position is a key collaborator with statistical programming, statistics, global data management and other project stakeholders. New hires based in the US & Puerto Rico will be required to demonstrate that they have been fully vaccinated for COVID-19 or qualify for a medical or religious exemption or accommodation to this vaccination requirement, subject to applicable law. Key Responsibilities: • Assist project teams in creating SDTM deliverables for Analysis and Reporting (A&R) and submission., • Support project teams in preparing submission deliverables including use of Pinnacle 21 Enterprise., • Up-versioning activities to specific versions of SDTM., • Partner effectively with project team members., • Participation in industry teams and conferences on best practices., • Membership on departmental strategic initiative project teams. Education Minimum Requirements: • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field with at least 5 years SAS programming experience in a clinical trial environment., • MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field with at least 3 years SAS programming experience in a clinical trial environment. Required Experience and Skills: • Strong SAS programming skills with demonstrated experience in macro development., • Demonstrated experience in CDSIC standards with strong command in SDTM., • Effective interpersonal skills and ability to negotiate and collaborate effectively. Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings). Accountable for tasks at project level; ability to partner with key stakeholders. US and/or worldwide drug or vaccine regulatory application submission experience including the development of electronic submission deliverables., • Knowledge of submission standards CDISC SDTM, Define.XML, SDRG, aCRF., • Demonstrated success in the assurance of deliverable quality and process compliance. Excels in technical writing, able to convert complex ideas and information into simple readable form., • Solid project management skills and effective written, oral, and presentation skills., • Familiarity with data collection and clinical data management concepts and application in SDTM., • Strategic thinking - ability to turn strategy into tactical activities., • Ability to anticipate stakeholder requirements Preferred Experience and Skills: • Strong working knowledge of reporting processes standard operating procedures (SOPs) and software development life-cycle (SDLC)., • Assuring consistency across protocols and projects., • Ability and interest to work across cultures and geographies. Ability to complete statistical programming deliverables through the use of global outsource partner programming staff., • Developing and managing a project plan using Microsoft Project or similar package., • Active in professional societies., • Process improvement., • Knowledge of Meta Data Repositories. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior#contract

We're looking for a builder who thinks like a product manager and codes like an AI-native developer. Someone who ships revenue-generating systems fast and knows that every internal tool today becomes a client product tomorrow. You'll build AI-powered content systems, RevOps analytics pipelines, and sales intelligence tools. Every system solves a real business problem first—if it works for us, we package it and sell it. That's the AIMS model. If you want to build cool tech demos that don't solve business problems, this isn't for you. If you think in terms of LTV, default to shipping over perfecting, and get excited about turning internal tools into external products, you'll thrive here. If you're curious at heart, genuinely love AI, and light up when you get to build with cutting-edge tools, we should talk. Built an AI-powered content creation pipeline that produced 47 personalized LinkedIn posts in under 2 hours—then packaged it as "The Content Pod Playbook" deployed across three client accounts Created a RevOps analytics dashboard pulling CRM data via MCP that tracks cost-per-call by lead source across 720 booked calls and flagged a 23% performance drop in one setter before the weekly review Shipped a sales intelligence tool that extracts call transcriptions into a vector database, surfaces the top 5 objections across all client calls, and automatically routes insights to marketing teams—currently processing 150+ calls per week Built a capacity planning dashboard that tracks sales rep availability, identifies coverage gaps 3 days early, and flags which lead sources are falling behind weekly goals Build & Productize: Create AI systems that solve our problems today and become client products tomorrow. Real business value. Ship Fast: Deploy working tools using Claude Code, Cursor, and AI-assisted workflows. Days to production, not weeks to perfection. Own the Infrastructure: Build with MCP servers, RAG pipelines, dashboards, and automated insights that drive business decisions. Bridge Technical & Business: Translate between engineering reality and business needs. Build tools people actually use. Document Everything: Every system becomes a playbook. Every win gets packaged. Every tool gets evaluated for productization. AI-native development with Claude Code, Cursor, or similar AI-assisted IDEs as your daily driver DevOps fundamentals—Git, CI/CD, containerization, and production discipline MCP server development and connecting AI to real data sources (APIs, databases, CRMs) Vector databases and RAG architecture experience building systems that retrieve and reason over internal data Internal tool building with Streamlit, Next.js, or whatever ships fastest AI security understanding—prompt injection prevention, secrets management, input/output validation Product thinking—you ask "can we sell this?" not just "does it work?" Genuine curiosity—you can name three AI tools you discovered in the last month because you're constantly exploring Bonus: PromptOps experience, orchestration frameworks (LangChain, LangGraph, CrewAI), AI observability tooling (Langfuse, Helicone), experience building tools for marketing/sales operations The best people on our team are curious at heart. They genuinely love AI—not as a buzzword, but as a craft they're constantly refining. They're always learning, always experimenting, and naturally excited (not overwhelmed) by how fast this space is moving. They read release notes for fun. They build side projects on weekends. They see every new AI capability as a business opportunity, not just a technical novelty. If that sounds like you, you'll fit right in. We turn proven RevOps playbooks into AI-powered machines. We're building the operating system for how modern businesses should work. AIMS started from Vendingpreneurs - RevOps systems that generated 1,600+ community members and grew a multi-million dollar portfolio. We asked: "What if we productized these playbooks?" That's exactly what we did. Today, AIMS operates with zero customer acquisition cost. Our client portfolio spans manufacturing, multi-location real estate services, coaching communities, medical services, service-based businesses, and SaaS/retail. What makes us different: Proven Playbooks: Everything we do has already worked at scale AI-First: Automation and AI deliver premium results without premium overhead Built by Operators: We're practitioners, not theorists. We've run these plays ourselves. We're not building another agency. We're building the blueprint for how all agencies should operate in the AI era. Location: Remote (U.S. preferred for time zone alignment) Employment: Full-Time To Apply: Send your resume and a brief note (3-5 sentences): The best AI system you've built (with impact metrics) Why turning internal tools into external products excites you

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ _ ✨ 📍Cardiff, London or Remote (UK) | 💰 £69,000 - £95,000 + | Technology - Credit & ✨ ⭐Monzo’s Borrowing Credit & Data team Our Borrowing Credit & Data team is the largest and most diverse team within Monzo’s Data Discipline, and is also one of the largest parts of the Borrowing Collective. This team sits at the core of our lending business. We design products, decide who to lend to, set underwriting policy, track the volume of new originations, identify customers who need help, manage the portfolio, measure risk and compute the core metrics required both for Monzo’s senior management and for our external financial reporting. We set prices, build predictive models, run experiments, build dashboards, enhance data pipelines and manage Monzo’s credit risk. Our _'s mission is to Enable Monzo to Make Better Decisions, Faster We are scaling up our Capital, Impairment and Forecasting modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will build up our forecasting capabilities and tools and will have significant exposure to critical business processes such as budgeting & ICAAP. Additionally the successful individual will lead the development and integration of the next generation of analytical dashboards, ECL decomposition and will have regular interaction with the senior management. 🔑You’ll play a key role by... • Development, implementation and maintenance of Stress Testing and Forecasting models, • Participate in business critical processes such as ICAAP and Budgeting, including presenting results to 2LOD, senior management and Execs, • Develop the next generation of performance tracking and analytics toolbox. These would include short horizon forecasting, root cause analysis, ECL decomposition, SICR efficiency., • Develop and maintain economic-response models for scenario simulation and impairment, • Actively involved in our monthly provisions process, and delivering outcomes to Monzo’s senior team (including our Head of Borrowing, CFO and CRO). These activities will include preparing analysis; proposing model adjustments / calibrations; discussing emerging regulatory changes and best practices (SS1/23; ‘Dear CFO letter’); presenting materials to the monthly impairment council., • Review and challenge a wider range of modelling solutions across the Borrowing collective (including IFRS 9, NPV, pricing etc.), • Close collaboration with portfolio strategy, model validation, finance and external audit teams 🤩We’d love to hear from you if… • You have a strong background in IFRS9 impairments and stress testing, • You have extensive experience in developing, validating or monitoring Credit Models (impairment, stress testing, forecasting), • You have strong analytical skills and a track record of using these to deliver technical projects, • You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus, • You can convey problems and solutions using clear and simple language, both written and verbal (see _ guide). This is particularly important for communicating complex issues and priorities to non-experts, • You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates, • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so, • You're a team player whom your colleagues can rely on 🙌What’s in it for you 💰£69,000-95,000 ➕share options. ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! _. 🌈 Our interview process involves 4 main stages: • Recruiter Call, • Initial Call with the hiring manager, • Take Home Task (SQL), • Final Stage interviews (x3) Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ #LI-SL1 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2023 and 2023 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

The opportunity Reporting to the Vice President, Deputy General Counsel for Privacy and AI Governance, you will design, implement, and oversee privacy-centric governance for AI development and deployment. This role acts as a framework owner, advisor, and process architect, ensuring compliance with international AI laws, privacy regulations, and ethical standards through close collaboration with Product, Security, Legal, and Engineering teams. What you'll be doing • Lead AI Program Governance and Policy: Determine the applicability of international AI laws, lead policy development, act as the Framework Owner, and establish ethical standards and clear guidelines for AI development. Streamline substantial assessments (Privacy, Safety, AI) and propose AI-enabled tooling to reduce effort., • Manage AI Incident Response: Review and modify incident response processes to incorporate AI-specific triggers and regulatory reporting lines, aligning them with existing roles and Security’s AI Acceptable Use Policy., • Oversee AI Risk Management: Maintain the AI Risk Management Policy and define a standard risk taxonomy (rights-based versus technical risks)., • Ensure Accuracy, Robustness, and Cybersecurity: Advise on adapting security and compliance programs to meet AI-specific legal obligations and collaborate with technical teams to ensure models satisfy defined accuracy metrics and compliance standards., • Implement Quality Management and Monitoring: Review and adjust standard Quality Management System (QMS) protocols for AI design, testing, validation, and post-market monitoring. Maintain standard processes and reporting templates for continuous model performance and compliance., • Specialist Consultation: Coordinate specialized legal analysis (e.g., IP, Employment) with appropriate co-counsel. What we're looking for • Experienced attorney in privacy, compliance, or governance roles, with 3+ years focused on AI or data-centric products., • Strong knowledge of international AI regulatory frameworks (e.g., EU AI Act), global privacy laws (e.g., GDPR, CCPA), and discrimination/bias standards., • Experience designing policies, templates, QMS, and documentation for regulated technologies., • Familiarity with incident response, risk management taxonomies, and model performance monitoring., • Proven ability to collaborate cross-functionally with Product, Engineering, Legal counterparts, and Security teams; excellent communication skills. You might also have • Preferred: Experience with accessibility standards, cybersecurity frameworks, and contractual provisions for technology products., • IAPP Certifications Additional information • Relocation support is not available for this position, • Work visa/immigration sponsorship is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit _. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out _ to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our and . Should you have any concerns about your privacy, please contact us at DPO@unity.com. #SEN