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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).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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).

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) Overview Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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).

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Director of Data Lake and Integration will provide technical and architectural leadership within the data engineering organization. In this role, you'll champion building out an enterprise data lake across the businesses, which is critical to the success of modernization and growth at Credit Acceptance. This includes all the first-party and third-party data, data modeling about business-critical data across the ecosystem, as well as data integration both within the company and with external partners. As a director, you'll be responsible for leading the technical vision, strategy, architecture, and execution of the enterprise data lake, collaborating both within the data team and outside to ensure successful deliveries in production, representing the data team in collaborating with business to ensure data availability that supports business priorities and successful usage of the data. The ideal candidate brings 15+ years of engineering experience with significant depth in building enterprise big data solutions with demonstrated impact on business success. You'll serve as both a hands-on technical leader and a strategic advisor, helping to establish robust, scalable enterprise data foundations that drive growth, enable innovation, and improve efficiency across the organization. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Develop and drive the long-term vision for enterprise data lake and integration, ensuring alignment with organizational goals and priorities Formulate and implement data lake and integration strategy across the data space, including but not limited to first-party/third-party data, structured/unstructured data, data modeling across the data ecosystem, and integration both within and outside the company Oversee the design and development of a scalable enterprise data lake that supports different use cases across the company and enables scalable and self-serve data success Lead the development and continuous evolution of scalable, robust, and business-aligned enterprise data lake and integration, driving the adoption of modern architecture and design, including cloud-native services, distributed computing, and real-time data processing. Effectively communicate data lake success, strategies, roadmap, and progress to executive leadership and stakeholders, ensuring alignment with the firm’s broader vision and goals. Develop insightful business and domain knowledge, translate data into actionable insights that enable the business to drive growth, foster innovation, and improve efficiency Build a strong engineering organization and foster a solid engineering discipline by leading with examples and mentoring team members Collaborate with both the data team and cross engineering on technology and architecture strategy and decision Exemplify technical innovation and contribute to critical system design, implementation, and operation success Formulate a technology and architecture decision framework that embeds the engineering discipline Become an expert in the business process domain to better support the business and align technologies with the business outcomes Work with the engineering leadership team to develop and execute on the company’s technical and business strategy Conduct impact analysis to proactively identify the impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions, and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build, and maintain best-in-class software systems Debug the critical problems that arise in production and execute effective solutions within the application and across multiple applications/systems Lead continuous learning and process improvement activities to improve design and overall engineering practices Grow talent by participating in hiring and mentoring team members Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication, and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience Minimum 5 years in senior leadership roles managing managers and large engineering teams Experience in the leadership role overseeing strategy and implementation of enterprise data lake and integration with demonstrated business success and impact Expert knowledge of software engineering best practices with experience building an enterprise data lake with modern technology and architecture Expert understanding and use of modern data technology end-to-end, including but not limited to source system, data integration, data acquisition, data ingestion, data transformation, data aggregation, data governance, business intelligence, data warehouse, data lake, NoSQL, object storage, streaming, etc. Extensive experience with enterprise data modeling and integration with demonstrated success Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated success in building a strong engineering organization and attract/recruit/grow/retain talent Demonstrated success in building a mission-critical enterprise-class data solution that delivers business impact Demonstrated ability to work with business partners, cross-functional team members, and coach and mentor experienced team members In-depth experience with building an enterprise big data real-time production system that delivers business success Experienced in communicating and articulating technology subjects in the context of business, and providing timely and clear communication Well-versed in delivery mechanisms such as Agile Preferred: Financial services or FinTech industry experience Knowledge and Skills: Architecture and Design: Ability to implement world-class solutions that meet the needs of the business and customer, and help deliver growth and innovation. Leadership: Be a thought leader and demonstrate leadership to mentor team members, influence change, and drive for the business outcome Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members, and embed learning and innovation in the day-to-day Strong experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Ability to work independently and as part of a team in a fast-paced, dynamic environment. Target Compensation: A competitive base salary range from $208,761 – $306,183. This position is eligible for an annual variable bonus of cash and equity, between 20-60%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices—including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision—bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle—from systems of record through the lakehouse to downstream consumers—and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle—from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions—business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)—deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 – $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Overview We’re looking for a Staff Marketing Technology AI Platforms Manager to join Intuit’s Marketing Futures Team, a group embedded in our broader marketing organization tasked with defining, piloting, and scaling AI‑enabled and future‑oriented marketing capabilities. You will be the team’s rapid prototyper and technical builder, creating AI‑infused marketing tools, platforms and capabilities to deliver the promise of AI to our users with bespoke experiences at scale. You’ll facilitate technical integration with Content Management Systems, Customer Data Platforms, and Advertiser platforms, and work closely with engineering partners to ensure pilots are production‑ready. We are looking for a seasoned AI-first MarTech builder with a passion for customer-first marketing who is an avid learner, experimenter, and builder ready to ship fast and prove what’s possible. Responsibilities Rapidly prototype AI‑infused marketing tools and experiences: agentic workflow automation, atomic content generation & assembly, dynamic landing page generators, GPT‑based chat interfaces, predictive audience orchestration and more. Build and iterate on marketing MVPs using Python, Integrated Development Environments (e.g., Cursor, Windsurf, Claude Code), and generative AI frameworks. Own the MCP and API integration layer for Marketing Futures. Design, build, and operate custom MCP servers that expose Intuit's marketing data and actions (campaign performance, audience segments, creative assets, CMS content, CDP profiles, ad spend, search and GEO signals) to 3P and internal agentic systems. Define the schemas, authentication patterns, rate limiting, and observability that make these servers safe for production use. Wrap legacy APIs and fragmented vendor SDKs (SA360, Google Ads, Meta Ads, Adobe, and first party Intuit services) into clean, agent consumable tool interfaces so marketers and agents can operate against a single source of truth instead of swivel chairing between platforms. Lead the engineering of a scalable AI agent ecosystem, implementing Agent-to-Agent (A2A) protocols for multi-agent orchestration and developing custom MCP connectors for Slack, Google Workspace, Databricks, AWS, GCP and 1P platforms/services to bridge fragmented marketing workflows into a centralized, high-concurrency automation platform Facilitate technical integration between Marketing Futures pilots and production systems: CMSs (Content Management Systems), CDPs (Customer Data Platforms), ad platforms (Google Ads, Meta Ads), internal APIs. Design and execute A/B testing frameworks for AI‑enhanced marketing experiences; measure and report on performance lift, conversion impact, and efficiency gains. Develop automation scripts and workflows that reduce manual effort in campaign operations, creative production, and reporting. Partner with product, engineering, data science, and product teams to evaluate emerging AI tools and ensure marketing pilots meet technical standards for scalability and security. Build internal tools and prototypes that demonstrate the value of AI‑driven workflows, supporting the team’s evangelism and adoption efforts. Contribute to internal prompt libraries, technical documentation, and training materials that enable the broader marketing org to leverage AI tools independently. Qualifications 6-8 years of experience in marketing technology, data engineering, or a hybrid marketing/data engineering role, with at least 2 years building AI‑powered tools or automations in marketing/sales organizations. Past experience designing and building MCP servers, API wrappers, or equivalent tool/function calling layers for LLM agents, including schema design, auth (OAuth, API keys, service accounts), rate limiting, error handling, and observability. Experience integrating with marketing and advertising APIs (SemRush, Google Ads, Google Search Console, Meta Ads, DV360, SA360, Databricks, Marketo CDPs, CMSs) is strongly preferred. Hands-on experience with GCP/AWS serverless architecture (Cloud Run, Cloud Functions, BigQuery or Fargate, Lambda, Redshift, Athena) to build resilient marketing data pipelines that centralize intelligence across fragmented sources Strong technical skills: proficiency in Python, TypeScript/Node.js and/or JavaScript; experience building web applications, APIs, or integrations in a marketing context. Hands-on experience building production-grade multi-agent systems using Google ADK and Vertex AI Agent Engine (or equivalent), including orchestrator/sub-agent patterns and A2A protocol implementation Hands‑on experience with generative AI frameworks, LLM APIs (e.g., OpenAI, Anthropic), and prompt engineering for marketing applications. Experience with A/B testing platforms and experimentation methodology; comfort designing, running, and analyzing marketing experiments. Familiarity with marketing tech stacks: CMSs, CDPs, ad platform APIs (Meta, Google, TikTok), analytics tools. Strong problem‑solving skills and a bias toward shipping; comfort working in ambiguous, fast‑moving environments. Excellent collaboration skills; ability to translate between marketing strategy and technical implementation. Degree in Marketing, Information Systems, Computer Science, Data Science, or a related technical/quantitative field is required, or equivalent practical experience. Master’s degree in Marketing, Computer Science, or a related field is a plus. Experience in fintech, SaaS, or regulated industries is a plus. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area $169,000 - $229,000 Southern California $154,500 - $209,000

JOB TITLE: DATA AUTOMATION ENGINEER JOB LOCATION: WASHINGTON DC (REMOTE) WAGE RANGE: 75.00-79.00 PER HOUR JOB NUMBER: SAIJP00038797 JOB DESCRIPTION Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud-based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented and applies critical thinking to create innovative functions and solve technical issues.Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Not required, but additional education, certifications, and/or experience are a plus:Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery. Microsoft certification in Azure fundamentals, data engineer, Power BI, AI or AWS certified data engineer. Integration knowledge using enterprise/open source ETL toolsets, REST API, Docker. Experience or exposure to performance fine tuning (indexing, execution plans, views), data profiling and query analytics. Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls. Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, et Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Location=Hartford, CT, Need locals TITLE=Salesforce Developer Design, develop, document, test, and debug new and existing Salesforce applications; perform defect analysis, design updates, and code corrections. Manage configurations and workflows to support evolving business needs. Apply Agile development practices in a collaborative team environment. Develop using Lightning Web Components, Flows, Apex, and work within Service Cloud and Experience Cloud. Build and maintain Salesforce API integrations across multiple platforms. Diagnose platform issues and coordinate effective resolutions. Conduct system performance testing and tuning to ensure reliability and scalability. Review and troubleshoot vendor partner work to ensure quality and alignment with standards. Preferred Qualifications 5+ years of experience in software development. 2+ years of hands on development experience on the Salesforce platform using Visualforce, LWC, Apex, Aura, Flow, Salesforce APIs, SOQL, and SOSL. Experience with Web Services, OAuth, JavaScript, and SQL. Experience with CI/CD pipelines. Experience using Git based source control (e.g., Bitbucket). Experience working within Agile software development environments. Experience with Salesforce Service Cloud. Salesforce Developer certification is a plus. Other Key Skills Strong interpersonal skills with the ability to collaborate effectively and maintain a positive team environment. Excellent verbal and written communication abilities. Ability to be fully engaged and present using virtual collaboration tools (e.g., MS Teams). Strong project and time management skills, with attention to detail and the ability to balance multiple priorities. Ability to work independently, analyze issues, and drive solutions. Demonstrated willingness to learn new technologies. Proven ability to engage in creative problem solving, take initiative, and apply sound judgment in complex organizational environments.

Requisition Number: 26741 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $103,467.00 - $132,500.00 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Job Description HII-Mission Technologies is currently seeking a skilled Data Scientist/Engineer to design, develop, and implement a data base architecture, tools, and techniques for management and use of extremely large data sets for use by data analyst for our DoD customer's organization. This position is located at Wright Patterson Air Force Base (WPAFB), Ohio and is within a commutable distance from Beavercreek, Fairborn, Dayton, and Riverside. #LI-HB1 #LI-HB1 Essential Job Responsibilities Investigate, determine, and implement suitable open-source tools for storage, managing, and use of extremely large data sets. Investigate, determine, and implement tools and methodologies for extracting key data points for analysis by data analyst. Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD customer’s organization data pipelines and workflows. Be part of a team responsible for creating, maintaining, and augmenting an on-premises compute environment Translating requirements into capabilities for technical teams Present status reports to key internal stakeholders Evaluate new tools, technologies, and processes to improve on-premises environment Gain familiarity of customer mission to identify and/or develop data management and workflow solutions. Proposes solutions and strategies to unique challenges throughout the DoD customer’s organization. Linux system configuration and capacity planning for large scale data analytics on-premises and cloud. Additional duties as assigned or required. Minimum Qualifications 5 years relevant experience with Bachelor in related field; 3 years relevant experience with Masters in related field. Experience with defining requirements for using and maintaining open-source data analytics, data workflow, and database tools. Develop, implement, and maintain data analytic protocols, standards, and documentation. Design data models based on requirements/needs for complex analysis of data analyst Define requirements for vendors to implement into their proposed solutions to meet DoD customer’s organization needs and use cases. Experience working with multiple types of datasets and database technologies Experience building data pipelines from end to end Experience with multiple industry standard cloud and on-premise database technologies Experience with data exploration, analysis, and visualization tools such as Python and Matlab Experience and familiarity with Linux operating environment Experience with open-source containerization technologies and tools and how to utilize those technologies as appropriately for database technologies and analytics Define internal process improvements to automate repetitive tasks to minimize downtime between analysis Clearance: Secret clearance to start. Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks. Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking Senior Oracle PL/SQL Developers with expert-level command of the Oracle RDBMS, SQL, and PL/SQL. You will be responsible for the architecture, development, and performance optimization of Oracle databases, including complex PL/SQL packages, triggers, types, and data pipelines. We're looking for somebody who is a confident problem solver, proactively challenges traditional solutions, and brings strong opinions on code quality and maintainability. You will also have opportunities to contribute to Java Spring Boot microservices, and modern front-end applications built with Angular and TypeScript. Responsibilities include, but are not limited to, the following: Oracle database full life-cycle development including data modeling, database architecture, SQL and PL/SQL development, performance tuning, unit testing, and production support. Design and implement efficient, maintainable database solutions for high-volume, web-based applications serving DoD customers. Contribute to architecture decisions and drive implementation of changes across our product base. Develop detailed technical analysis and design specifications from functional and compliance requirements. Collaborate closely with developers, DevSecOps engineers, designers, and analysts to solve complex problems. Create, refactor, and improve reusable database objects with an emphasis on modularity and testability. Profile, optimize, and tune SQL queries and execution plans for performance at scale. Establish and enforce coding standards, peer review practices, and documentation norms. Support CI/CD pipeline integration for database change management (Liquibase, Flyway, or equivalent). Knowledge and Skills: 7+ years of hands-on experience developing Oracle SQL and PL/SQL in production environments. Strong understanding of Oracle performance tuning tools and techniques (AWR, ASH, execution plan analysis, indexing strategies). Experience with CI/CD tooling (Jenkins, GitLab CI, or GitHub Actions) and Git-based source control workflows. Familiarity with database migration and version control frameworks (Liquibase, Flyway). Disciplined approach to testing and quality assurance, including experience writing unit tests for PL/SQL (utPLSQL or similar). Experience with containerized deployment environments (Docker, Kubernetes) is a plus. Experience developing Java Spring Boot applications is a plus. Experience with modern front-end frameworks (Angular, React, or Vue) and TypeScript is a plus. Exposure to cloud-hosted Oracle environments (AWS RDS, OCI) is a plus. Education and Work Experience: Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science, or a related field is preferred. A Bachelor's degree may be waived with commensurate years of relevant professional experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment may be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $125,000 - $145,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit www.e-verify.gov/. A submission of a resume is an expression of interest and not considered an application. For more information, visit www.get-integrated.com. Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company's flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution • Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs, • Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor, • Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data, • Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development • Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP, • Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams, • Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation • Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build, • Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management, • Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement • Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge, • Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS • Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred), • Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn), • Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks, • Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed, • Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language, • Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus PREFERRED QUALIFICATIONS • Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems), • Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis, • Analytical experience at a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting, • Experience with ThoughtSpot or Power BI preferred, • Exposure to or curiosity about generative AI and its applications in analytics workflows (natural language querying, entity resolution, or automated insight generation), • Experience contributing to a client-facing analytics product or repeatable analytical framework, • Familiarity with dbt or similar data transformation frameworks

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Director / VP, Insights to Action will serve as the founding senior leader of the ITA function — responsible for both the analytical quality and the organizational build-out of a small, high-impact team. This is a player-coach role: the successful candidate will personally execute analytical work alongside three Data Scientists, maintaining deep individual contribution while also setting standards, developing team members, and managing client relationships. The role requires an individual who combines quantitative rigor with strong communication skills and fluency in the US specialty pharmacy and pharmaceutical manufacturer ecosystem. The Director / VP will interface regularly with both internal and external stakeholders spanning market access, patient services, and commercial leadership, translating complex analytical findings into clear, actionable narratives. KEY RESPONSIBILITIES Team Leadership & Development • Lead, mentor, and develop a team of three Data Scientists; this is a player-coach role — the expectation is sustained personal analytical output alongside team management responsibilities, • Set and maintain analytical standards, review team work product, and allocate capacity across concurrent client engagements, • Contribute to hiring, onboarding, and capability development as the function scales Client Delivery & Engagement • Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review (QBR) preparation, ad hoc analyses, and ongoing insight production, • Serve as the primary analytical point of contact for senior client stakeholders; present findings to market access leaders, patient services teams, and executive sponsors, • Partner with the Commercial team on analytical content for renewals, new business proposals, and strategic account planning Analytical Frameworks & Insight Generation • Define and maintain a standardized KPI framework for hub program performance spanning six key pre-defined families, • Lead proactive, hypothesis-driven analysis across patient throughput, stage conversion rates, payor dynamics, HCP-level behavior patterns, adherence trajectories, and financial program utilization, • Translate analytical findings into executive summaries, trend narratives, and operational recommendations formatted for manufacturer client audiences Data Infrastructure & Productization • Collaborate with data engineering, Master Data Management (MDM), and BI architecture teams to define data requirements and ensure the analytical inputs underlying ITA are reliable, consistently defined, and properly governed, • Guide the progressive migration of validated ad hoc analyses into productized ThoughtSpot dashboards, contributing to the company’s long-term self-service analytics strategy, • Identify and help resolve upstream data quality and governance issues that affect insight reliability Commercial & Strategic Support • Support the commercial positioning of the ITA capability in coordination with Business Development leadership, including input to RFP responses, pricing discussions, and go-to-market materials, • Contribute to defining the ITA product roadmap — the progression from ad hoc delivery to a scalable, monetizable analytics offering REQUIRED QUALIFICATIONS • 7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Demonstrated experience managing or leading a small analytics team; player-coach orientation is essential — this role requires sustained personal contribution alongside people management, • Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred), • Proficiency in Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn), • Experience with ThoughtSpot or Power BI preferred, • Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks, • Demonstrated ability to communicate complex analytical findings to senior non-technical stakeholders; strong written and verbal presentation skills, • Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree preferred PREFERRED QUALIFICATIONS • Direct experience with pharmaceutical hub program operations, including case management workflows, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Familiarity with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing systems, benefits verification platforms), • Experience with patient access or market access analytics at a pharmaceutical manufacturer, including program performance tracking and payor dynamics analysis, • Background in pharma consulting with a focus on analytics, commercial operations, or market access strategy, • Experience at a health insurer or PBM in a role involving formulary analytics, utilization management, specialty drug analysis, or patient access reporting, • Experience developing or contributing to a commercial analytics product or client-facing insights offering, • Familiarity with generative AI applications in analytics workflows (e.g., natural language querying, synthetic data generation, entity resolution), • Familiarity with dbt or similar data transformation frameworks

Company Description Nile Tech Inc. is dedicated to empowering professionals in achieving their career aspirations. With a focus on connecting individuals to opportunities that align with their goals, we foster growth and success. Our dynamic team and innovative solutions are designed to help clients thrive in today's evolving job market. Join us and make a meaningful impact in driving organizational and individual success. Role Description This is a full-time, on-site role located in Jersey City, NJ for a Human Resources Consultant. The consultant will work closely with clients to develop and implement effective HR strategies. Responsibilities include advising on HR policies, managing employee relations, ensuring compliance with labor and employment laws, facilitating HR management processes, and serving as a strategic partner for workforce planning and development. Key Responsibilities • Source, screen, and place IT consultants across SAP, data engineering, cloud, and related domains, • Market bench consultants (OPT, CPT, H-1B, GC, USC) to vendors and clients via job portals, LinkedIn, and direct outreach, • Build and maintain relationships with prime vendors, Tier-1 vendors, and direct clients, • Negotiate pay rates, bill rates, and contract terms with vendors and candidates, • Manage consultant profiles, submission tracking, and interview coordination, • Maintain and update ATS/CRM with candidate and vendor data, • Ensure compliance with immigration statuses (OPT, H-1B, GC, etc.) during placements, • Coordinate onboarding, offer letters, and consultant documentation, • Support HR functions including employee records, compliance, and payroll coordination

Senior Security Engineer – Secure Code Review 📍 New York, NY 🏢 On-site | Full-Time My client is seeking a Senior Security Engineer to join their Application Security practice. This role is ideal for a hands-on AppSec professional with a strong software development background and deep experience performing secure code reviews, analysing CVEs, and working with SAST and SCA tools in real production environments. Responsibilities • Perform manual and tool-assisted secure code reviews across Java and C#/.NET applications, • Analyse and triage vulnerabilities in open-source libraries and frameworks (CVE analysis), • Assess applications against OWASP Top 10 and identify exploitable security issues, • Provide developers with actionable remediation guidance and architectural recommendations, • Use AI-assisted code analysis tools to accelerate vulnerability detection and validate findings, • Support vulnerability management, risk assessments, and compensating controls such as WAF rules, • Research emerging open-source vulnerabilities and produce mitigation guidance Must-Have Skills • Hands-on experience with SAST and/or SCA tools (e.g. Checkmarx, SonarQube, Black Duck), • Real-world experience performing CVE analysis and exploitability triage, • Strong Java proficiency (JDK 8–21, Spring, Maven/Gradle), • Ability to review and understand complex codebases written by others, • Solid understanding of OWASP Top 10 and secure coding principles, • 5+ years in software development, application security, or both Preferred Skills • C#/.NET and ASP.NET Core experience, • DAST tools such as Burp Suite or OWASP ZAP, • Experience writing or validating WAF rules, • Secure SDLC, threat modelling, or security champion programmes, • Consulting or professional services background, • Cloud application security experience (AWS, Azure, or GCP), • Certifications such as CSSLP, GWEB, GPEN, or OSCP

Role - Senior Solution Architect (Data & AI Solution Specialist) Location - NJ/NYC / Dallas/Charlotte/Atlanta/Raleigh Job type – Fulltime Must Have Technical/Functional Skills A senior Solution architecture specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution. Must Have skills : • 15+ years of experience in data architecture, data engineering, and analytics platforms, • Experience across AWS, GCP, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services with depth expectations as below: o Deep experience on one more of AWS, GCP, Azure o Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt o Experience in open-source technologies based Enterprise Data architecture • Strong consulting experience in large BFSI transformation programs, • Hands on experience with preparation for Data Analytics Solution architecture, client presentations and Proof of concepts development, • Design and implement AI and Gen AI solution for data value chain, • Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation, • Strong background in data integration, reporting, and big data ecosystems, • Experience working in regulated environments with data governance and compliance requirements, • Excellent stakeholder communication and leadership skills Roles & Responsibilities • Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches., • Solution Architecture & Design: Develop end-to-end cloud-native data & AI architectures – spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards. o End-to-End System Design: Mapping out the precise technical lifecycle of data, including pipeline orchestration, data warehousing, and API integrations o Technology Selection: Vetting and selecting the optimal tech stack, such as specific cloud services (e.g., AWS, Azure, GCP), data warehouses (e.g., Snowflake, BigQuery), or streaming engines (e.g., Kafka) o Data Modeling: Designing detailed conceptual, logical, and physical data models (like Data Vaults or Star Schemas) to ensure optimal query performance and data integrity. • Security & Governance: Baking strict data privacy, compliance (e.g., GDPR, HIPAA), and access control frameworks directly into the architecture., • Consulting Leadership: Own the technical solution in Consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates. Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities., • Demonstrations & Proof of Concept (PoC): Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence., • Collaboration & Handover: Work closely with internal teams – sales, delivery managers, domain consultants, and cloud partners – to ensure proposed solutions are deliverable and aligned with available capabilities. Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations. Provide early-stage support to resolve any design challenges., • Thought Leadership & Best Practices: Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides., • Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients., • Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms., • Design and implement AI and Gen AI solution for data value chain, • Design data integration pipelines (batch, real-time, big data) and analytics platforms, • Enable enterprise reporting and BI solutions for regulatory and business needs, • Define and implement data governance, quality, metadata, and lineage frameworks, • Act as a trusted advisor to senior business and IT stakeholders, • Participate in Data Analytics Architecture and Delivery reviews and provide recommendations, • Mentor junior solution architects and stay up to date with emerging cloud data technologies (e.g. Data Lakehouse, DataOps / MLOps, generative AI) to continuously enhance proposal quality., • Mentor teams and contribute to solutioning and pre-sales activities

Description Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring 2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads 3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable 4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models 5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures 6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts 7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience with AI/ML technologies - 3+ years of building machine learning and generative AI models for business application experience - 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience - Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications - 3+ years of coding, data querying languages (e.g. SQL), and scripting languages (e.g. Python) Preferred Qualifications - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of AWS services including SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch and AWS certifications - 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools - 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow - Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines - Domain expertise in healthcare and life sciences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, TX, Houston - 131,300.00 - 177,600.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher’s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations. 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. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. _

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72's Technology team, we encourage and support your professional development from day one-helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity-all while delivering real business impact for our multi-billion-dollar global business. What you'll do • Lead end-to-end delivery of technology projects, ensuring scope, schedule, budget, and quality objectives are met, • Partner with engineering, infrastructure, security, and business stakeholders to define project requirements and success criteria, • Manage project plans, dependencies, risks, and issues, providing clear and timely communication to stakeholders, • Coordinate activities related to server (Windows and Linux), container, and storage platforms, including upgrades, migrations, and lifecycle initiatives, • Apply appropriate project management methodologies, such as Agile, Waterfall, or a hybrid, based on project needs, • Ensure projects comply with financial services regulatory, risk, and security standards, • Drive continuous improvement in project delivery processes and documentation What's required • Bachelor's degree in computer science, information technology, engineering, or a related field, • 5-10 years of proven experience as a project or program manager within the financial services or technology industries, • Strong track record managing complex infrastructure or platform-focused projects from inception through delivery, • Superior organizational skills and attention to detail, with the ability to manage multiple complex initiatives simultaneously, • Solid understanding of Windows and Linux server environments, including administration, patching, and lifecycle management, • Familiarity with enterprise storage platforms, including SAN, NAS, and object storage, as well as cloud storage solutions including AWS, Azure, and GCP, • Working knowledge of virtualization technologies such as VMware or Hyper-V, containerization, and infrastructure automation, • Understanding of infrastructure change management and disaster recovery concepts, • Exceptional communication skills, with the ability to influence and build consensus across technical and business audiences, • Strong analytical and problem-solving capabilities with a pragmatic, results-oriented approach, • Demonstrated ability to thrive in a fast-paced, high-stakes environment with competing priorities, • Collaborative mindset with proven ability to build effective relationships across diverse teams, • Familiarity with infrastructure monitoring, observability, and performance management tools, • Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Mental and physical wellness programs, • Volunteer opportunities, • Non-profit matching gift program, • Support for employee-led affinity groups representing women, minorities and the LGBT+ community, • Tuition assistance, • A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit What We Do - Point72 The annual base salary range for this role is $185,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. From strategy to execution, the Government & Public Sector (GPS) practice of Ernst & Young LLP provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world. Our GPS Technology Organization is a structure within the US GPS practice that implements and maintains a new operate and technology model designed specifically to support U.S. defense and Government engagements. The opportunity This role supports large and complex government cloud programs operating within Azure Government environments. It is responsible for leading the delivery of platform and infrastructure capabilities from initial design through implementation, with a focus on enabling scalable, automated, and low friction cloud consumption models. The position plays a critical role in designing and evolving enterprise grade automation and CI/CD capabilities while serving as a bridge between product, engineering, and platform teams to advance cloud capabilities without introducing technical debt. The role translates business and user needs into platform designs that meet functional, security, and operational requirements, while providing technical leadership and mentorship within a collaborative delivery environment. Success in this role requires creativity and innovation applied thoughtfully within the constraints of government and security sensitive contexts. Your key responsibilities + Lead the design, engineering, and automation of cloud platform solutions that meet product and business needs + Apply and enhance DevSecOps practices, standards, and automation to improve reliability and delivery effectiveness + Apply modern development principles, security standards, and usability guidelines to all platform solutions + Ensure platform quality through appropriate use of manual reviews and automated controls + Balance a strong bias toward automation with sound judgment on when manual approaches are more effective + Identify, communicate, and manage risks, assumptions, issues, and decisions throughout the full solution lifecycle + Evaluate technical options, assess feasibility and impact, and recommend solutions that balance delivery timelines with long‑term maintainability + Design, build, and support CI/CD pipelines and associated tooling to enable reliable, repeatable deployments + Collaborate across teams and mentor junior engineers to support delivery excellence and capability growth Skills and attributes for success + Demonstrates ownership of assigned work, proactively identifying issues and driving solutions within defined scope + Operates with a growth mindset, showing curiosity and commitment to continuous learning as technologies and priorities evolve + Communicates clearly with technical and non‑technical stakeholders to support effective decision‑making and delivery + Applies sound judgment when balancing delivery speed, quality, security, and sustainability + Collaborates effectively across teams, influencing outcomes through partnership rather than authority + Adapts to shifting priorities and ambiguity while maintaining focus on delivery commitments + Provides guidance and informal mentorship to less‑experienced engineers through example and feedback + Approaches problems analytically, questioning assumptions and exploring practical alternatives + Demonstrates accountability and reliability in environments requiring independent execution To qualify for the role, you must have + Bachelor's degree in Computer Science, IT, or equivalent experience + Microsoft Certified: Azure Administrator Associate (AZ-104) + 5+ years in engineering roles working with private/public cloud IaaS, PaaS, and/or SaaS + Strong hands-on experience with (in order of importance): + Infrastructure as Code & CI/CD - designing and delivering with tools such as Bicep, Azure DevOps, ARM templates, or Ansible + Containers and orchestration - experience building and running containerized workloads using technologies such as Docker, Kubernetes, Azure Kubernetes Service (AKS), Azure Container Apps , or Helm for packaging and deploying services at scale + Scripting / programming - practical automation experience using PowerShell (Python or similar scripting languages is a plus but not required) + Networking fundamentals - strong foundation designing and troubleshooting VNets, subnets, network security groups (NSGs), routing (UDRs), and basic load-balancing scenarios , with enough depth to reason about hub-and-spoke or similar topologies and diagnose common connectivity issues + Cloud security principles - solid understanding of concepts such as shared responsibility, least privilege, identity-driven security, network segmentation, encryption, and logging/monitoring, and how to apply them for customers driven by regulatory compliance requirements, such as: NIST, Fedramp + Windows and Linux administration - hands-on experience managing, troubleshooting, and hardening server workloads , including patching, performance tuning, and applying security baselines (e.g., DISA STIG or equivalent) + Identity and access - understanding of Microsoft Entra ID, Azure RBAC, Entra ID RBAC, Privileged Identity Management (PIM) , and managed identities for Azure resources + Experience with government security frameworks (e.g., NIST controls) + Hands-on delivery in Agile environments (Scrum, Kanban, SAFe, or similar) + Strong written and verbal communication and the ability to work effectively on distributed teams Ideally, you'll also have + Ability to obtain and maintain Top-Secret Security Clearance + Deeper hands-on experience with: + Git-based source control and branching strategies + Azure DevOps Pipelines and broader Azure platform services + Bicep for advanced automation and configuration + Azure Policy and multi-tenant / multi-subscription design patterns + Advanced Azure networking experience - hands-on exposure to one or more of: VPN Gateway or ExpressRoute, Azure Firewall or other NVAs, Virtual WAN hubs, Application Gateway or similar L7 gateways, and more complex hybrid or multi-region network designs + Additional relevant certifications, such as: + AZ-400, AZ-500, AZ-700, AI-102 + Certified Kubernetes Administrator (CKA) or CKAD / CKNS + Red Hat Certified Specialist in Ansible Automation What we look for + A self-starter, independent-thinker, curious and creative person with ambition and passion + History of continuous learning and continuous progression What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $89,600 to $167,600. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $107,600 to $190,500. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Job Resposibilites • Application Development, • Participate in daily standup call to provide update to broa Product Development team, • Provide regular development ticket status update in Jira, • Work with various project and open source development tools, including, but not limited to Jira, Confluence and GitHub., • Measure and monitor progress to ensure application releases are delivered on time and wi, • Communicate progress, status, issues, and resolutions to various business units, management and Executive Leadership via verbal and written status reports. Skills/Competencies To apply for this position, you must have the following skills and competencies. Items marked as preferred represent skills not required but preferred to have. • Infrastructure Support for Languages and Libraries, • 5+ years of application development experience in Node, • 2+ years of experience in GraphQL, • 2+ years of experience in NoSQL, preferably Couchbase, • React Native and React JS (1-2 years), • Experience, • Proficiency in developing mobile and web applications, • Applicable knowledge of various languages (Javascript, python etc.) and the requirements to support them., • 5+ years of previous application development experience, • Experience with build and automation tools, such as Chef, Jenkins and Puppet., • Experience with Unit Tests, • Experience with version control (Github, SVN, etc), • Experience with cloud-based platforms, such as those that run on Amazon's Web Service or Microsoft Azure., • Experience using project management (Basecamp, Asana, etc.), issue tracking (Jira, Pivotal Tracker, etc.), and documentation (Confluence, etc.). software., • Demonstrated ability to coordinate cross-functional work teams toward task completion, • Ability to manage one's time effectively to meet tight and high expectation deadlines, • Must be able to work and communicate effectively with both business and technical people., • Proven ability to effectively perform requirements gathering and documentation., • As a person with a passion for excellence, desire to success, and the ability to be a quick learner, you will thrive in this environment, • Excellent oral and written communication skills., • Healthcare industry experience a plus, with employment at WebMD, Everyday Health, or other types of large scale mobile applications preferred. Krish - 732 979 2323

Account Executive | AI-Enabled Hospitality SaaS | NYC (Hybrid) We're representing a well-funded, Series D SaaS company modernizing hotel operations and guest experience through cloud-based, AI-powered technology. With a strong foothold in the market and an aggressive growth mandate, they're scaling their commercial team to capture significant untapped territory across the U.S. This is a high-velocity, high-reward closing role for an AE who thrives on volume, owns their process end-to-end, and wants real upside with a clear path to promotion. • Location: New York City | Hybrid (3 days in-office), • Base Salary: $75,000 - $85,000 / OTE: $140,000 - $150,000+ (uncapped commission), • Equity: Day-one equity stake, • Benefits: Full benefits package What's in it for you? • Earning potential: Uncapped commission with a strong base and realistic OTE well above market for the segment, • Pipeline support: 70% of leads generated by a dedicated BDR team and inbound marketing -- you're walking into real pipeline, • Equity: Every AE receives equity on day one, • Mobility: Proven promote-from-within culture -- multiple team members have moved from SMB to Mid-Market to Enterprise, • Product: Multi-product SaaS platform with strong retention, meaningful expansion opportunity, and AI-driven automation built in, • Stability: Well-funded company with consistent quota attainment history across the team What will your day look like? • Owning a full sales cycle: From outreach to close, you run the deal -- no hand-holding, no SE dependency, • Running high-volume demos: 8-12 per week; you present, you demo, you close, • Generating pipeline: Supplementing BDR-driven leads with 25-30% self-sourced activity, • Selling into independent and regional hospitality operators across a wide-open U.S. territory, • Managing a book post-close: You own the relationship after the deal, then expand it Who are you? • 1.5-2+ years of net new SaaS closing experience -- majority must be new logo, not upsell/expansion, • Demo-ready: You can run a product demo independently, start to finish, • Velocity-oriented: Comfortable with short cycles, high weekly activity, and consistent monthly closes, • Pipeline builder: You know how to self-source and don't rely solely on inbound, • 100%+ quota attainment on record, • Hospitality or property tech background is a strong differentiator -- not required, but valued, • Not a fit: One-call-close backgrounds, founding AE roles, or purely transactional sales experience Application & Contact Information To apply, please apply directly here on LinkedIn. For more immediate consideration, feel free to send me an email directly at mroe@codasearch.com. Related Terms: Account Executive, AE, SaaS Sales, Hotel Technology, Hospitality Tech, SMB Sales, Commercial Sales, Cloud Software, B2B SaaS, Velocity Sales, New York, NYC, Net New Sales, Software Sales, AI SaaS, Property Technology

Req ID: 374387 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Oracle EPM Financial Consolidation and Close (FCCS) Consultant (FTE / Hybrid) to join our team in Jersey City, New Jersey (US-NJ), United States (US). "Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role." The Oracle EPM FCCS Specialist is responsible for supporting the enterprise financial consolidation, reporting, and close processes through expert-level functional and technical knowledge of Oracle Hyperion Financial Management (HFM) along with experience working across financial platforms such as Hyperion and Oracle Fusion Cloud Financials. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Key Responsibilities • Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring., • Maintain and enhance FCCS metadata (DRM or EDMCS), scenarios, entities, accounts, and intercompany structures., • Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems., • Manage system operations related to the close process, including running consolidations, translations, calculations, and validations., • Configure and maintain integrations between FCCS and other Oracle EPM Cloud applications (EDMCS, PCMCS, PBCS/EPBCS), ERP systems, data warehouses, and other enterprise platforms using Data Management (FDMEE) including data loads, mappings, validation rules, and error resolution., • Collaborate with source system owners to ensure accurate data transfer from ERP systems (e.g., Oracle EBS/Cloud GL, SAP, or others)., • Maintain mapping tables, location setup, import formats, scripts, and load automation schedules., • Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations., • Serve as a subject matter expert (SME) on FCCS functionality, Intercompany Matching and Eliminations rules, and Journal Management., • Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements., • Provide user training, guidance, and support for change request submission and hierarchy management., • Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar)., • Support internal and external audit activities through documentation, controls, and system evidence., • Recommend technology and process improvements that enhance financial operations efficiency., • Work with cross functional teams to automate manual financial workflows using the appropriate tools., • Mentor offshore EPM Administrators, • Identify opportunities to optimize metadata structures, automation, and data governance workflows. Required Qualifications • 5+ years of experience in finance., • 5+ years of experience administering Oracle FCCS and/or Hyperion Financial Management with more than 2 FCCS implementations., • 3–5 years of experience with FDMEE/FDM data integrations., • Strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes., • + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web, • +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.), • 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes., • 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems., • Strong knowledge of automation using Oracle EPMAutomate., • Strong analytical, documentation, and problem‑solving skills., • Highly organized and detail‑oriented., • Strong communicator able to partner effectively with Finance, IT, and business stakeholders., • Adaptable and proactive, with a continuous improvement mindset., • Comfortable managing multiple priorities in a dynamic environment. Nice to have: • Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway., • Basic understanding on Oracle ARCS, TRCS products knowledge., • Experience with Oracle EPM EDMCS is preferred., • Experience in the Banking sector is preferred., • Ability to write Groovy rules, REST API calls, or SQL is preferred., • Oracle EPM Cloud FCCS certification is preferred. #LI-NorthAmerica #INDFSINS About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, _. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click_.

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company. Data Strategy & Key Datasets • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Partner with merchant-facing teams to develop external analytics products and insights that deepen Trustly’s value proposition with key partners and enterprise clients. Machine Learning & Artificial Intelligence • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Stay current with the rapidly evolving AI/ML landscape and translate emerging capabilities into concrete business opportunities for Trustly. Leadership & Cross-Functional Partnership • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience., • Experience with pre-IPO data program build-out and supporting data-related due diligence. Applications for this role are accepted on an ongoing basis. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP, • Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. Requirements POSITION SUMMARY The Director / VP, Insights to Action will serve as the founding senior leader of the ITA function — responsible for both the analytical quality and the organizational build-out of a small, high-impact team. This is a player-coach role: the successful candidate will personally execute analytical work alongside three Data Scientists, maintaining deep individual contribution while also setting standards, developing team members, and managing client relationships. The role requires an individual who combines quantitative rigor with strong communication skills and fluency in the US specialty pharmacy and pharmaceutical manufacturer ecosystem. The Director / VP will interface regularly with both internal and external stakeholders spanning market access, patient services, and commercial leadership, translating complex analytical findings into clear, actionable narratives. KEY RESPONSIBILITIES Team Leadership & Development · Lead, mentor, and develop a team of three Data Scientists; this is a player-coach role — the expectation is sustained personal analytical output alongside team management responsibilities · Set and maintain analytical standards, review team work product, and allocate capacity across concurrent client engagements · Contribute to hiring, onboarding, and capability development as the function scales Client Delivery & Engagement · Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review (QBR) preparation, ad hoc analyses, and ongoing insight production · Serve as the primary analytical point of contact for senior client stakeholders; present findings to market access leaders, patient services teams, and executive sponsors · Partner with the Commercial team on analytical content for renewals, new business proposals, and strategic account planning Analytical Frameworks & Insight Generation · Define and maintain a standardized KPI framework for hub program performance spanning six key pre-defined families · Lead proactive, hypothesis-driven analysis across patient throughput, stage conversion rates, payor dynamics, HCP-level behavior patterns, adherence trajectories, and financial program utilization · Translate analytical findings into executive summaries, trend narratives, and operational recommendations formatted for manufacturer client audiences Data Infrastructure & Productization · Collaborate with data engineering, Master Data Management (MDM), and BI architecture teams to define data requirements and ensure the analytical inputs underlying ITA are reliable, consistently defined, and properly governed · Guide the progressive migration of validated ad hoc analyses into productized ThoughtSpot dashboards, contributing to the company’s long-term self-service analytics strategy · Identify and help resolve upstream data quality and governance issues that affect insight reliability Commercial & Strategic Support · Support the commercial positioning of the ITA capability in coordination with Business Development leadership, including input to RFP responses, pricing discussions, and go-to-market materials · Contribute to defining the ITA product roadmap — the progression from ad hoc delivery to a scalable, monetizable analytics offering REQUIRED QUALIFICATIONS · 7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) · Demonstrated experience managing or leading a small analytics team; player-coach orientation is essential — this role requires sustained personal contribution alongside people management · Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred) · Proficiency in Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn) · Experience with ThoughtSpot or Power BI preferred · Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks · Demonstrated ability to communicate complex analytical findings to senior non-technical stakeholders; strong written and verbal presentation skills · Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree preferred PREFERRED QUALIFICATIONS · Direct experience with pharmaceutical hub program operations, including case management workflows, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs · Familiarity with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing systems, benefits verification platforms) · Experience with patient access or market access analytics at a pharmaceutical manufacturer, including program performance tracking and payor dynamics analysis · Background in pharma consulting with a focus on analytics, commercial operations, or market access strategy · Experience at a health insurer or PBM in a role involving formulary analytics, utilization management, specialty drug analysis, or patient access reporting · Experience developing or contributing to a commercial analytics product or client-facing insights offering · Familiarity with generative AI applications in analytics workflows (e.g., natural language querying, synthetic data generation, entity resolution) · Familiarity with dbt or similar data transformation frameworks Benefits • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ACKNOWLEDGEMENT I have read the foregoing job description and understand the responsibilities of the job. I agree that I am able to perform the essential duties of this position.

Job Description VP, Head of Responsible AI Our client is seeking a visionary VP, Head of Responsible AI to architect trust across our enterprise AI initiatives. Reporting jointly to the CIO and General Counsel, you will accelerate AI adoption while embedding ethical, legal, and security guardrails in a data-centric operations environment. In a data-centric operations environment, this role serves as the bridge between technical innovation and legal safeguard — enforcing a dual mandate: accelerating AI adoption while minimizing systemic risk. Responsibilities: • Define and operationalize a 3-year Responsible & Secure AI maturity roadmap aligned with client commitments and global regulations., • Co-lead the AI Governance Committee with CIO/GC to unify AI approval and deployment decisions., • Serve as enterprise spokesperson on AI Trust for clients, regulators, and industry forums., • Establish the "Source of Truth" for all AI assets (model registries, lineage, audit trails)., • Oversee red-teaming, stress testing against prompt injection, model extraction, and data poisoning., • Embed security into LLMOps/DevSecOps pipelines for "Secure by Design" agentic systems., • Ensure RAG/fine-tuning workflows prevent PII leakage and client data cross-contamination., • Implement protocols to discover and govern shadow AI across business units., • Drive 100% compliance with EU AI Act, NIST AI RMF, ISO 42001, and US state laws (e.g., Colorado AI Act)., • Mandate bias detection/mitigation and algorithmic fairness protocols., • Enforce Human-in-the-Loop (HITL) requirements for high-stakes AI operations., • Support client negotiations with transparency on AI data protection., • Partner with Business Units to RAI-enable workflows without bypassing risk guardrails., • Vet foundation model providers (OpenAI, Anthropic) and open-source libraries., • Ensure AI systems align with EXL's cloud, data governance, and platform strategies., • Oversee policy adherence via audits, dashboards, and compliance reviews., • Lead enterprise training and culture-building for responsible AI., • Build/mentor a team of AI governance leads, ethicists, and security experts. Qualifications: Required: • 15 years in technical, legal, or risk leadership; 5 years dedicated to AI/ML governance, security, or ethics., • Hybrid expertise: Discuss Transformer architectures/vector DBs with engineers AND liability/indemnification with Legal., • Deep fluency in NIST AI RMF, ISO 42001, EU AI Act., • Proven experience building "Governance-as-a-Service" in global, regulated, client-facing enterprises., • Bachelors in CS, Data Science, Law/Ethics (technical focus); MS/PhD/JD strongly preferred. Preferred: • Direct experience with LLMOps, RAG security, red-teaming, shadow AI mitigation., • Track record leading AI governance committees or maturity programs., • Comfortable in client-facing roles providing AI trust assurances.

Job DescriptionAbout Monstro Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you'll feel at home here. About the Role We are hiring a Managing Director, Strategic Accounts to personally lead the pursuit and closing of Monstro's largest, most strategic engagements with Tier-1 global banks. This is a senior individual contributor role — a quota-carrying operator-seller who runs the room and closes the deal. It is not a sales management role. Target deals are multi-year transformation programs and enterprise platform deployments in the $25M–$100M+ ACV range. You will work shoulder-to-shoulder with the CEO and CRO to win Monstro's earliest transformational partnerships with the world's most influential financial institutions. This is an early enterprise hire at Monstro. The narrative, the GTM motion, the discovery framework, the pricing posture, and the deal playbook are still being shaped. You will help shape them — not inherit them. We are looking for a seller who is energized by that, not slowed down by it. Why This Role Matters The global banking industry is undergoing a once-in-a-generation infrastructure shift. A handful of strategic, long-term partnerships will determine market leadership in governed financial intelligence — and the seller who lands them will be the person who defines how Monstro shows up to a Tier-1 bank for the next decade. Each Tier-1 win compounds: it defines the product roadmap, validates the category, and creates reference accounts that unlock the next wave of global opportunities. The output of this role is not a forecast; it is the first set of marquee logos that make Monstro inevitable in the institutional market. What You'll Do Own the deal, end-to-end • Personally lead pursuit, qualification, and close of multi-year transformation programs and enterprise platform deployments ($25M–$100M+ ACV)., • Run discovery, build the business case, drive the technical evaluation alongside Product and Engineering, negotiate commercial terms, and bring the deal across the line., • Own the forecast on your accounts with discipline. No surprises, no padding, no hopium. Build pipeline, don't just inherit it • Develop pipeline through a deliberate, repeatable process — account mapping, cold and warm outreach, executive briefings, partner channels, events, and content — not solely through your personal network., • Use existing relationships as accelerants where they exist; build new ones where they don't. Comfort with cold development is required, not optional., • Maintain a working pipeline of strategic pursuits with clear next steps, identified economic buyers, and documented mutual close plans. Engage at the executive level • Build and sustain C-suite relationships (CEO, CRO, CIO, CTO, Head of Data, Head of Wealth, Head of Risk) and convert them into active executive sponsorship inside the bank., • Run the room in executive sessions — frame the problem, defend the architecture, handle objections from procurement, risk, and InfoSec on the spot. Help shape the GTM motion • Translate every deal cycle into reusable artifacts: ICP refinement, qualification criteria, objection libraries, competitive positioning, ROI models, and proposal templates., • Partner with the CEO, CRO, and Product on messaging, pricing structure, and packaging — bring the voice of the institutional buyer back into the building., • Help define what the enterprise sales motion looks like as Monstro scales. Your deals are the source material. Navigate procurement, risk, and compliance • Drive complex procurement, InfoSec, regulatory, and legal review cycles in parallel with commercial negotiation. Anticipate the gates; don't get caught by them., • Coordinate Legal, Security, and Compliance internally to clear approvals on first submission wherever possible. Hand off cleanly to delivery • Orchestrate the transition from signature to deployment with Product, Engineering, and Customer Success so the bank's first 90 days are a credit to the deal, not a complaint about it. Represent Monstro externally • Be a credible voice in the market — executive briefings, industry forums, private dinners, and selective public speaking that elevates Monstro's positioning with Tier-1 institutions.What Success Looks Like, • Within 6 months: a qualified, advancing pipeline of 6–10 named Tier-1 pursuits, each with an identified economic buyer, executive sponsor, and documented mutual close plan., • Within 12 months: active executive sponsorship at 6–10 priority Tier-1 banks, generated through a mix of existing relationships and new ones you built from scratch., • Within 18 months: 2–4 closed transformational partnerships in the $25M–$100M+ ACV range, contributing $50M–$200M in total contract value., • Forecast accuracy within ±10% on a rolling 90-day basis from month 9 onward., • ≥60% first-cycle clearance on InfoSec, regulatory, and procurement reviews through early alignment with internal Legal, Security, and Compliance., • Reference-grade outcomes on closed accounts: ≥50% of customers willing to take peer reference calls within 6 months of go-live., • Tangible contribution to the GTM motion: at least one durable artifact (pricing framework, qualification model, objection library, ROI calculator, or competitive playbook) shipped from your deal experience and adopted by the broader team., • At least two product enhancements influenced by Tier-1 deal cycles you ran, prioritized into the roadmap within 12–18 months.What We're Looking For, • Senior individual contributor, not a sales manager. You have personally carried a number and personally closed $25M+ ACV enterprise technology deals into Tier-1 or large regional banks. References will validate that you, specifically, drove those wins., • Demonstrated repeatable sales motion. You can walk through how you build pipeline from cold, how you qualify, how you advance, and how you close — with specifics, not slogans. You have closed meaningful deals into accounts where you had no pre-existing relationship at the start of the cycle., • End-to-end ownership through delivery. You have sold technical products into Tier-1 banks and stayed engaged through implementation. You understand what gets a deal signed and what gets it deployed — and that those are different problems., • Executive credibility in financial services. You have active, working relationships with senior decision-makers at Tier-1 banks (CIO, CTO, CRO, CDO, Heads of Data / Wealth / Risk / Transformation). You treat your network as an accelerant, not the whole strategy., • Technical literacy. Comfortable engaging substantively on core banking infrastructure, cloud, data architecture, APIs, AI governance, and security/compliance frameworks. You can hold a technical conversation without a sales engineer in the room., • Domain depth. Real working knowledge of banking infrastructure, regulatory regimes, InfoSec processes, and how procurement and risk actually work inside a Tier-1 institution., • Operator mindset. You are energized by ambiguity. You have sold at an early stage before — ideally where the deck, the pricing, and the case studies didn't fully exist yet — and you helped build them. You write your own follow-ups, run your own discovery, and don't wait for enablement to ship., • Background. Likely an early or top-performing enterprise seller at a company that sold infrastructure into banks (e.g., Palantir, Snowflake, Databricks, Bloomberg, Oracle Financial Services, FIS/Fiserv, Finastra, Temenos, MongoDB, Confluent, or a comparable financial-services-focused enterprise software business). The pattern we care about is what you closed and how, not the logo on your resume., • Global fluency. Comfortable operating across major financial hubs (US, UK, Europe, Middle East). Willing and able to heavily travel internationally., • Voice in the market. Willing and able to represent Monstro externally — executive briefings, industry events, selective public speaking — in a way that compounds pipeline.How We Will Evaluate You Our process is calibrated specifically to distinguish operator-sellers from relationship-only hires. You can expect to: • Walk us through 2–3 specific deals end-to-end, including how you built pipeline, who the economic buyer was, what nearly killed the deal, and what your specific role was in saving it., • Show how you would build a 90-day plan for a named Tier-1 bank where you have no pre-existing relationships., • Pressure-test our current narrative and pricing posture and tell us what you would change., • Talk through how you would build the repeatable motion alongside leadership — not just execute on a pre-existing one.Compensation This is a senior individual contributor role with executive-level total compensation, structured as a true closer's seat — 50/50 base/variable split, with uncapped accelerators designed so that top performers materially out-earn OTE on the strength of closed deals. New York • Base Salary: $275,000 – $325,000, • On-Target Variable: $275,000 – $325,000 (50% of OTE), • On-Target Earnings (OTE): $550,000 – $650,000, • Realistic Top-Performer Earnings: $1,500,000 – $2,500,000+ annually at sustained over-attainment with one or more Tier-1 transformational wins, • Equity: 0.25% – 0.50% (pre-Series-A; subject to Board approval and standard four-year vesting with a one-year cliff) Plan Mechanics • Commission accelerates above 100% of plan and accelerates again above 150%, with no cap on annual earnings., • Additional milestone kickers apply on first-of-kind Tier-1 wins, multi-year contract structures, and named marquee logos that establish reference accounts for the next wave of pursuits., • The plan is built to reward closed ACV, not activity. A single transformational $50M–$100M+ ACV win, structured and closed, can drive earnings well into seven figures on its own.Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background).Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . Why Engineering at Dataiku? Dataiku's on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look _ How you'll make an impact: As a Site Reliability Engineer (SRE) with advanced expertise in networking and security, you'll join our Cloud team developing and operating the Dataiku managed offering. Your role involves working on a wide variety of tasks, from architecting and maintaining robust network security measures (PrivateLink, Ipsec, etc.) to ensuring compliance with industry standards and regulations, monitoring, and deploying our cloud offering. You are responsible for building and operating a reliable, secure, and cost-efficient infrastructure to support the Dataiku SaaS offering. This role is an opportunity to be part of a project that is central to our company's vision and has a strong and direct impact on the final outcome. You will work with the most promising cloud technologies and receive valuable mentorship from experts from our core team. The position is at the NYC Office. Some expected outcomes for this role: • Design, deploy, and maintain robust network and security measures (private connectivity options, VPN IPSEC, firewall configurations, etc.) in cloud infrastructures to support a Dataiku SaaS offering., • Troubleshoot network connectivity issues in cloud and on-premises environments., • Collaborate with security teams to execute a comprehensive security roadmap, prioritizing initiatives that mitigate risks and enhance our overall security posture., • Ensure compliance with industry standards and regulations (e.g., SOC2, HIPAA) by implementing and maintaining appropriate security controls and practices., • Continuously improve the infrastructure, deployment, monitoring, and configuration to deliver more reliable, resilient, scalable, and secure services., • Automate routine tasks and processes to improve operational efficiency and scalability, leveraging infrastructure as code tools and scripting languages. What you need to be successful: • Experience in enterprise networking (VPN IPSEC / Palo Alto / Cisco / PrivateLink...), and network security with a focus on both on-premises and cloud environments., • Proven track record of designing and implementing secure and compliant network architectures, with an understanding of industry standards and regulations., • Experience leveraging cloud resources from at least one public cloud provider (AWS / Azure / GCP), including proficiency in networking services such as AWS VPC, VPN Gateway., • Hands-on experience with networking tools (tcpdump, wireshark, netstat, dig, etc.) and Infrastructure as code tools (Terraform/Ansible, Helm)., • Solution-oriented and automation-first mindset., • Bonus: hands-on expertise working with Docker and Kubernetes What does the hiring process look like? • Initial call with a member of our Technical Recruiting team, • Video call with an SRE Manager, • Technical Assessment to show your skills (Home Test or Live Coding), • Debrief of your Tech Assessment with 2 SRE Team members, • Final Interview with a VP Engineering #LI-Hybrid #LI-On-site #LI-AH1 Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$165,000—$225,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . Are you passionate about the AI market and highly skilled in competitive analysis? Dataiku is seeking a strategic, analytical, and action-focused competitive analyst to join our Competitive Intelligence team within Corporate Strategy. In this critical role, you'll help us develop a deep understanding of the competition, drive market differentiation, shape strategic battle plans, and create enterprise-wide impact. Join us in shaping the future of enterprise AI! This is your opportunity to play a key role in one of the most transformative industries of the last 20+ years. Building on our established CI foundation, you'll have strategic cross-functional impact in the rapidly evolving Agentic AI market. This position is located in our New York or Denver offices. How you'll make an impact: Analyze competitive moves and market dynamics, transforming critical insights into actionable strategies that inform market scenarios. Present strategic analysis and actionable recommendations to Senior leadership, Technology, Marketing, and Revenue teams. Support our go-to-market teams with competitive strategies that help us win more at scale. Directly support deals where needed. Relentlessly collect field intelligence, including through active monitoring of the market, participation in conferences, developing an extensive network of field connections, and our win-loss program. Work closely with Sales Enablement to scale the distribution of effective competitive training resources. Ensure all CI content meets high-quality standards. Independently lead research projects supporting our corporate strategy function. What you'll need to be successful: Bachelor's degree in a technology-related field or equivalent experience 7+ years in competitive intelligence, management consulting, product marketing, or related strategic roles, with 5+ years focused specifically on competitive analysis Excellent analytical skills and a solid understanding of the technology markets, with the ability to detect, analyse, and proactively respond to competitive threats that impact sales performance Proven track record of supporting sales success through competitive assets, deal support, and sales team coaching Excellent written and verbal communication skills, with the ability to present effectively to diverse audiences, including account executives, sales engineers, technical product managers, and executives. Strong organizational skills and ability to manage multiple priorities in a dynamic environment Self-driven with a strong bias for action and a drive to enhance market positioning Willingness to travel up to 20% for conferences, sales events, and meetings in New York and Paris offices #LI-JR1 Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$150,000—$200,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . As Product Marketing Manager for Analytics & MLOps, you will own the go-to-market for two of Dataiku's most established product surfaces: the visual analytics and data preparation capabilities that displace the competition's legacy tools, and the end-to-end machine learning lifecycle. Analytics and MLOps are the proven foundation of Dataiku's enterprise platform - the capabilities that hundreds of the world's largest companies use every day to put real models and analytics into production. Your job is to sharpen positioning, drive launches, and grow share in markets where Dataiku already wins. You'll also work with the PMM and competitive strategy teams to drive competitive battlecards, win/loss analysis, and competitive deal-desk support across Dataiku's major competitors. Core Responsibilities Analytics PMM Position visual data prep, Flow, Stories, dashboards, and BI integrations Drive displacement narrative vs. legacy analytics tools Ship launch assets: pages, one-pagers, demos, sales talk tracks Maintain cadence with the Analytics product team MLOps PMM Position AutoML, experiment tracking, deployment, monitoring, and CI/CD Build buyer narrative for DS leaders, ML platform teams, and practitioners Compete against full-lifecycle platforms and point solutions Translate productivity outcomes into proof points Competitive Intelligence Own battlecard development and quarterly refreshes Run monthly win/loss analysis; turn insights into messaging and sales tools Cross-functional Ladder Analytics & MLOps positioning to Dataiku's category story Regular cadence with Sales, SE, and CS for field feedback Collaborate on integrated launches and analyst engagements What we're looking for 4-6 years B2B PMM experience in analytics, BI, or ML Bachelor's in marketing, business, CS, or related field Background with Tableau, Power BI, Looker, Alteryx, DataRobot, SageMaker, or similar a plus Strong storytelling, positioning, GTM strategy, sales enablement, and technical fluency in analytics/ML #LI-LP1 Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$124,000—$186,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

Sr. Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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).

Location: US (New York or East Coast) - Remote Type: Full-time Kestra is the Orchestration Control Plane of the AI Era — a general-purpose, open-source workflow orchestration platform trusted by engineering and data teams at JPMorgan Chase, Bloomberg, Apple, BHP, Crédit Agricole, and Deutsche Telekom. We just closed a $25M Series A (total $36M raised). 2 billion workflows executed in 2025. ~30,000 GitHub stars. 25x revenue growth since Seed. We're not a niche tool. We orchestrate data pipelines, infrastructure automation, business processes, and agentic AI workflows — all in one platform. We're building the Kestra Partner Ecosystem Catalog — the go-to destination for integrations and solutions from Kestra's technology and services partners. Discover integrations and solutions from Kestra partners to help you build and run modern applications. This means three partner categories: Technology partners — cloud providers, data platforms, AI vendors, infrastructure tools that integrate natively with Kestra (AWS, GCP, Azure, dbt, Spark, OpenAI, Terraform, Kubernetes, and 1200+ plugins already in the ecosystem) Consulting & SI partners — system integrators and boutique firms that implement and customize Kestra for enterprise customers You own this program end to end: from signing the first partners to running the ecosystem at scale. You report to the CEO and work closely with Product, PMM, Field Engineering, and the Sales team. This is a builder role. There is no playbook yet. You write it. 1 — Build the Partner Program from scratch Design the program structure: tiers, benefits, co-marketing, referral mechanics, certification requirements Define onboarding process, partner portal, co-sell rules of engagement Set KPIs: partner-sourced pipeline, partner-influenced ARR, ecosystem catalog coverage 2 — Sign and activate technology partners Identify and prioritize integration partners (strategic cloud platforms, AI/ML tooling, data infrastructure, DevOps/IDP vendors) Lead partnership negotiations: co-marketing agreements, joint GTM plans, technical integration scopes Coordinate with Product and Engineering to ship and document integrations 3 — Develop consulting & SI partnerships Map the landscape of relevant system integrators, boutique DevOps/data consultancies, and nearshore delivery firms Structure partner enablement: training, certifications, Kestra Academy access, demo environments Run joint account planning with Field Engineers and Account Executives 4 — Drive ecosystem growth Own the Kestra Partner Ecosystem Catalog — content, positioning, and launch Build co-marketing plays: joint case studies, webinars, conference presence, community cross-pollination Work with PMM on partner-led demand generation campaigns Maintain a healthy pipeline of partner candidates at all stages Quarterly business reviews with strategic partners Report on partner-sourced and partner-influenced revenue monthly Must-have 4–7 years in partnerships, business development, or alliances — ideally in open-source infrastructure, data tooling, DevOps, or cloud platforms Experience building a partnership program from early stage (not just inheriting and operating one) Technically fluent: you understand how integrations work, can speak to engineering teams, and read a YAML config without flinching Strong commercial instincts: you know how to structure a win-win deal and move it to signature Excellent written and verbal communication — in English, German or French a plus Strong plus Prior exposure to open-source ecosystems and developer communities Experience with workflow orchestration, data pipelines, or infrastructure automation Existing network in the data/cloud/DevOps consulting world (Europe or US) Familiarity with co-sell and co-market mechanics in cloud marketplaces (AWS, GCP, Azure) Series A company, moving fast, expanding in the US and DACH You own a greenfield — full scope, full accountability Direct line to the CEO and leadership team Open-source product with genuine community traction (~30K GitHub stars) Remote-friendly with a strong engineering culture Real ownership in a globally distributed, technical team Direct line to the CEO and full visibility on company strategy A product already running mission-critical workloads at Fortune 500 companies Competitive compensation, equity, and health insurance Base: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering., • Experience with RAG and Vector Databases Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Polymarket is the world’s largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized “house,” Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We’re growing fast: both in volume ($21B traded in 2025) and in adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media, powered by fast, reliable, and deeply technical market infrastructure. Polymarket is looking for a backend engineer to help build and scale the core exchange infrastructure that powers our markets. This role is focused on high-performance, low-latency backend systems that must be correct, fast, and resilient under real-world trading load. You’ll be a core individual contributor working with other senior engineers to design, implement, and optimize the systems that sit at the heart of Polymarket’s exchange. This is a high-ownership role with minimal bureaucracy and a strong bias toward execution. We’re looking for an experienced backend engineer who enjoys working close to the metal and solving hard distributed systems problems. Build the exchange backend: Design and implement scalable, low-latency backend services that power Polymarket’s exchange, using C/C++ or other performance-oriented systems languages (Go, Rust, Java). Optimize for performance & scale: Profile, tune, and debug systems with a focus on latency, throughput, memory usage, and correctness in production. Design distributed systems: Build and operate robust APIs, data pipelines, and event-driven systems using messaging and streaming platforms (Kafka, Pulsar, RabbitMQ). Own reliability & operations: Reinforce security, availability, performance, and scalability across backend systems, and participate in diagnosing and resolving production issues. Collaborate cross-functionally: Work closely with engineers across product, infra, and data to ensure tight integration between the exchange and the broader platform. Contribute to code quality: Participate in code reviews, design discussions, and architectural decisions to maintain a high bar for engineering excellence. 4–7+ years of professional backend development experience, with strong proficiency in C/C++ (preferred) or another systems language (Go, Rust, Java). Solid understanding of algorithms, data structures, concurrency, memory management, and experience building low-latency, high-throughput systems. Comfortable working on complex systems end-to-end, debugging production issues on Linux, and taking responsibility for correctness and performance. (Plus) Experience in trading systems, HFT, gaming, telecom, or other latency-sensitive domains (Plus) Production experience with Kafka, Pulsar, or similar streaming platforms at scale (Plus) Familiarity with gRPC, Protobuf, ZeroMQ, or similar technologies (Plus) Experience deploying systems in cloud environments (AWS/GCP) and using containers Competitive salary & equity Unlimited PTO, Health, Vision, & Dental coverage 401k match Hardware setup — new MacBook Pro, big display, & accessories.

Faro Health aims to improve lives by helping life sciences companies answer complex clinical questions simply, efficiently, and effectively. Our software platform serves as a single source of truth for orchestrating complex clinical development. By bringing data and teams together, we empower researchers to design more intelligent trials and reach milestones faster. We are seeking a highly skilled and analytical Senior QA Automation Engineer to drive our automation strategy, focusing on applications utilizing Large Language Models (LLMs) and advanced AI technology. This role requires expertise in Playwright (TypeScript) and proficiency in Python, where you will design, develop, and maintain robust automated testing frameworks and ensure the delivery of high-quality, reliable, and cutting-edge software. • Automation Strategy & Development:, • Design, develop, and maintain scalable, robust, and efficient automated test suites using Playwright (TypeScript)., • Debugging Playwright tests using trace files and logs., • Contribute significantly to the architecture and evolution of our automation frameworks., • Integrate automated tests into the CI/CD pipeline to support continuous testing., • Develop and execute test plans specifically for applications that incorporate Large Language Models (LLMs)., • Defect Management:, • Identify and communicate bugs found during regression or scheduled test executions., • Work closely with the supervisor to reproduce, debug, and resolve issues., • Quality Advocacy:, • Act as a strong advocate for quality throughout the software development lifecycle., • Continuously seek to improve QA processes, tools, and methodologies., • Collaboration:, • Participate in design reviews, sprint planning, and daily stand-ups., • Communicate test results, risks, and quality metrics to cross-functional teams and supervisors., • Experience: 8+ years of direct experience in Quality Assurance focused on test automation development or equivalent years of development experience., • Typescript, Playwright & Python Expertise: Strong experience in designing, developing, debugging and maintaining test automation frameworks and scripts specifically with Typescript, Playwright and Python., • AI Tool Proficiency: Demonstrated ability to effectively utilize AI-powered developer tools, such as Cursor IDE, Claude Code, or Windsurf., • Experience with API testing., • Web Technologies: Solid understanding of web technologies (HTML, CSS, JavaScript, DOM, React)., • Framework: Solid understanding of Object-Oriented Programming (OOP) and Design patterns., • Version Control: Familiar with version control systems such as Git., • Testing Methodologies: Experience working in Agile/Scrum development environments., • CI/CD: Experience integrating automated tests into CI/CD pipelines, preferably using GitHub Actions (other examples include GitLab CI, Jenkins)., • Log Analysis: Ability to read, interpret, and debug application and system logs to effectively diagnose issues., • Problem-Solving: Excellent analytical and problem-solving skills with a keen eye for detail., • Communication: Strong verbal and written communication skills., • Master's/Bachelor’s degree in Computer Science, Engineering, or a related software field., • Experience testing applications that utilize Large Language Models (LLMs)., • Familiarity with cloud platforms (e.g. Azure[+], AWS, GCP)., • Hands-on performance and/or security testing., • Self-motivated and highly capable of operating under minimal supervision, • Able to identify gaps in automated coverage and proactively develop technical solutions., • Ability to design scalable, maintainable test suites from the ground up., • Advanced proficiency in using LLMs and AI agents to accelerate the SDLC specifically for automated script generation, analysis and rapid debugging., • Proven ability to drive SDLC efficiency through AI-integrated workflows, utilizing LLMs to automate test script creation and significantly reduce debugging turnaround times., • Direct experience in building and integrating Test Management (QASE, Jira) and CI/CD pipelines (e.g., GitHub Actions, Jenkins) to enable automated test reporting and end-to-end traceability throughout the delivery lifecycle., • Proven ability to pivot priorities and manage quality across multiple high-stakes projects simultaneously within a heavily automation-integrated environment., • Demonstrated ability to build technical cohesiveness across Engineering, Product, and DevOps teams, ensuring that "Quality at Speed" is a shared organizational goal., • Comfortable performing deep-tier validation including API testing (REST/GraphQL), SQL data verification, and monitoring cloud-native application health (AWS/Azure). Salary range for this position is $119,000 to $141,000 per year. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. In addition to this position’s salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic), • Short Term and Long Term Disability, • Paid Time Off (Flexible Vacation Policy; Paid Sick & Public Holidays Observed), • Training & Development Reimbursement, • Hybrid Work Environment, • Peer-to-peer bonus program, • Company/department outings and events, • Stock Option Plan, • Office On-Premises Amenities; gym, restaurant tenant discount, Padel Nine

Location: US (New York or East Coast) - Remote Type: Full-time Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Kestra is the fastest-growing open-source orchestration project in the world — close to 30,000 GitHub stars, hundreds of contributors, and a global community scaling rapidly across engineering, data, and IT teams. Following a $25M Series A, we're accelerating our US expansion while already operating at scale in Europe. Every organization runs on workflows — thousands of them, mission-critical, often invisible until they fail. Most of these workflows are trapped in legacy orchestration platforms built 15 or 20 years ago. These systems cost millions to maintain, take months to modify, create deep vendor lock-in, and were designed for a world that no longer exists. At the same time, the rise of cloud, microservices, AI agents, and multi-team architectures has created an explosion of operational complexity that these platforms were never built to handle. Kestra was created to solve this problem. Born from a real failure — a large-scale Airflow deployment that could not meet the requirements of a 30,000-employee enterprise — we built an open-source orchestration platform that any engineer can adopt in minutes, that replaces seven-figure legacy systems in days, and that provides full visibility and control over every workflow across the organization. We are trusted by Bloomberg, JPMorgan Chase, Deutsche Telekom, Toyota, BHP, Crédit Agricole, and FILA — all acquired without outbound sales in their respective markets. Our ambition is to become the orchestration standard for every enterprise. Not a point solution. Not a dev tool. The execution backbone — one engine, every use case, every team. We are not riding a hype cycle. We are solving a structural problem that grows with every layer of complexity the industry adds. Building Kestra requires persistence, adaptation, and rigorous execution over time. We are looking for people who think the same way. We're looking for a Head of Sales to own the global revenue number, build the team, and define the motion that makes growth repeatable. Based in the US, you will lead Kestra's commercial expansion globally — starting with the US market while working in close coordination with the European team. This is a builder-manager role. You will design the sales process, lead and grow an existing team of Sales Leads and Solution Engineers, and create the conditions for the team to perform consistently. You will be present on strategic deals as an executive sponsor — providing executive alignment, navigating procurement, and unlocking stalled cycles — but you are not the primary closer. Your job is to build a machine that scales, not to be the machine yourself. You report directly to the CEO and work closely with Customer Operations, Product, and Marketing/PMM. Kestra starts where engineers live — open source, self-hosted, community-adopted. Thousands of organizations are already running Kestra in production before they ever talk to sales. The Head of Sales needs to understand how to build an enterprise motion on top of that reality: converting community signal into pipeline, working with technical champions, and building a compelling enterprise narrative without alienating the developer base. This is the core challenge of the role, and the thing that makes it different from a standard enterprise SaaS sales leadership position. Experience with OSS-led or PLG-to-enterprise motions — at companies like Confluent, HashiCorp, Grafana, dbt Labs, or equivalent — is a strong differentiator. The Head of Sales is the architect of a scalable sales system. You move from selling to organizing and optimizing a system that sells at scale — defining the strategy, building repeatable processes, and assembling the team. Your primary objective is to make revenue growth predictable and data-driven. Own the number — You own global ARR. That means owning the pipeline generation strategy, forecast accuracy, and the commercial outcomes of the team. You are the executive presence on strategic deals, not the primary closer. Build and lead the team — You lead an existing team of AEs, Sales Leads, and SEs, and grow it deliberately. You set the bar for coaching culture, hiring standards, and execution discipline. Define the motion — You design the playbooks, qualification framework, POC policy, and sales process that make results repeatable. You turn what works into something others can run. Align the go-to-market — You work closely with Marketing on pipeline generation, positioning, and proof content. You partner with Customer Operations on expansion and NRR. You feed structured market signal back to Product without turning every deal into a roadmap request. Proven track record building and scaling a B2B enterprise sales team in developer tools, infrastructure, data/AI tooling, or open-source software Experience with OSS-led or PLG-to-enterprise GTM motions — you understand how to turn a technical community into a sales pipeline Has operated in a Series A/B environment and knows what "builder" actually means in practice: no inherited playbook, no mature SDR team, no established brand in the market Comfortable with complex enterprise sales: security reviews, procurement cycles, multi-stakeholder alignment, long deal cycles Able to define a clear wedge for a general-purpose platform and build a playbook others can run and repeat High standards, low ego — coaching-oriented, execution-focused, and honest about pipeline reality Bonus points Background in orchestration, infrastructure automation, or workflow management Familiarity with technical buyers and developer communities Experience selling into IT, platform engineering, or data engineering personas Global team ARR / bookings and attainment vs. target Pipeline coverage, generation rate, and SQL → Close conversion Win rate, average cycle length, ACV Forecast accuracy Rep ramp time and productivity per rep NRR / avoidable churn (shared with CS) Real ownership in a globally distributed, technical team Direct line to the CEO and full visibility on company strategy A product already running mission-critical workloads at Fortune 500 companies Competitive compensation, equity, and health insurance Base: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones.

A Gartner Executive Partner (EP) is an indispensable advisor for every Information Technology and digital leader. Executive Technology Services is an exclusive membership-based organization serving over 7,000 CIOs / CxOs and senior IT leaders across 87 countries. These members benefit from the convenience of a single source of knowledge and insight focused on CIO-level challenges, service delivery in their context, the shared knowledge of the world's largest community of CIOs and Technology Leaders, and the assurance of Gartner objectivity and independence. Gartner's Executive Partners act as coaches, content-providers and business advisors to Executive Programs members, and partner with colleagues across the organization to deliver service solutions utilizing Gartner products and services. What you'll do: • Manage a portfolio of 25+ members consisting of digital/technology within State and Local Government (SLG) organizations., • Get a deep understanding of the members' priorities and challenges. Help members find solutions and execute on their strategy by leveraging your own experience, Gartner's capabilities, and the trends across our client base., • Challenge the member with new ideas and innovative approaches and provide an outside "fresh eyes" perspective on their decisions and direction., • Define and deliver innovative solutions by assessing the member's top Priorities and developing a customized service plan., • Conduct briefings, strategy sessions and workshops both virtual and onsite, as well as research analyst visits, roundtables, and webinars., • Build a strong partnership with Gartner's Sales organization and collaborate with them to ensure strong member engagement and renewal of ExP business., • Present or facilitate at local ExP events Who You Are: • Our most successful Executive Partners have the ability to adopt best practices, follow established processes, and embrace feedback with a mindset of continuous improvement. Gartner Executive Partners have natural curiosity and share their knowledge and expertise with Executive Programs members. They understand the members' critical priorities and build trust by delivering value and leveraging key internal partnerships to drive results., • Consulting and/or CxO/CIO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Big Data, Cloud, etc.), • The ideal candidate(s) should be able to demonstrate exposure to large E2E transformative initiatives having led/co-led large critical programs, • Extensive knowledge of a digital/technology leaders focus areas and an in-depth understanding of the IT industry (including leadership, IT operations management, IT and Business strategy, technology trends, performance metrics, KPI's etc.) and priorities such as the challenges of "today's" digital/technology leaders and how Gartner ExP can make the difference as an advisory organization., • Experience with key business concepts such as revenue enablement & generation, market improvement, risk reduction, and launching a P&L and adding to the top line / substantial P&L responsibility., • Project to Product experience where new revenue streams were created., • Experience with Agile / DevOps / Emerging Technologies, • Advanced critical thinking and structured problem-solving skills, • High tolerance and an advanced ability to lead and manage ambiguous situations, • Excellent relationship building and collaboration skills, • Superior verbal, written, facilitation and presentation skills (Executive Presence), • Demonstrable sales and/or business development experience with CXO level executives, • Expert skills at managing multiple priorities, • Committed to making others successful, • Naturally Collaborative, • Active listening skills, • Ability to challenge the status quo and to be provocative in a professional and engaging manner. #LI-MP8 #LI-REMOTE Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 160,000 USD - 194,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:110904 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

About the role: Gartner Executive Programs (ExP) and Gartner Enterprise IT Leaders (EITL) are services within Gartner Executive Technology Services (ETS) and is the indispensable tool for digital leaders. It is an exclusive, membership-based organization serving over 8,500 CIOs and senior IT leaders across 87 countries. These members (including Fortune 500 companies & Governments around the world) benefit from the convenience of a single source of knowledge and insight focused on Board and C-level challenges, service delivery in their context, the shared knowledge of the world's largest community of C-level IT Executives, CIO/CTOs, and the assurance of Gartner objectivity and independence. The AI Executive Partner will serve as a strategic partner and executive adviser. The role requires a visionary leader with deep understanding of AI and how to leverage it to enable and drive organizational outcomes. Are you a Chief AI Officer, Chief Innovation Officer, Chief Strategy Officer, or Chief Product Officer and want to make an even larger impact across multiple industries to help shape the market? What you will do: Manage a portfolio of member relationships providing Advisory support to the C-Suite with a focus on Artificial Intelligence Leverage subject matter expertise to create service solutions for clients utilizing all ExP and/or EITL products Define and deliver innovative solutions by assessing member Mission Critical Priorities (MCPs) and developing a customized service plan Conduct a mix of on-site and virtual briefings, including strategy sessions, research analyst visits, roundtables and webinars Present or facilitate sessions at Gartner events where relevant Build a strong partnership with Gartner's Sales organization and collaborate with them to ensure member engagement, renewal and growth of ETS business Guide executives who lead strategic initiatives using AI and provide expert advice on the implementation, integration, and optimization of AI technologies Provide training and mentorship on AI-related topics to broad audience across organizations and help leaders drive AI literacy and responsible AI practices What you will need: Consulting and/or CxO roles with 15+ years of progressive technology exposure (AI - including Machine Learning, Natural Language Processing, Deep Learning, Robotics, Product Development, BI, Digital Transformation, Block Chain, Big Data, High Performance Compute, Cloud, etc.) with experience leading complex large-scale IT/digital/business transformation programs 7-10+ years delivering enterprise-wide AI programs across multiple business units within large organizations Must possess a robust understanding of key AI technology and market trends with experience and understanding of Generative AI Familiarity with AI organizational structures, AI governance practices and AI maturity models is a plus. Experience presenting to board of directors and CEOs is desired Industry background can be varied, and we welcome applications from individuals from specific or several such as banking and financial services, consumer centric industries, manufacturing, life sciences, high tech, healthcare, etc. Demonstrable sales and/or business development experience and interest with CXO level executives #remote #LI-TK3 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 188,000 USD - 225,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:91452 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Sr. Executive Partner - Global CIO Advisory A Gartner Executive Partner (EP) is an indispensable advisor for every Information Technology and digital leader. Executive Technology Services (ETS), is a membership-based organization serving over 7,000 CIOs / CxOs and senior IT leaders across 87 countries. Our program has seen double digital growth YoY with 54% of members signing multi-year contracts. These members (including Fortune 100 organizations benefit from the convenience of a single source of knowledge and insight focused on CIO-level challenges, service delivery in their context, the shared knowledge of the world's largest community of CIOs and Technology Leaders, and the assurance of Gartner objectivity and independence. Gartner's Executive Partners act as coaches, content-providers and business advisors to Executive Programs members, and partner with colleagues across the organization to deliver service solutions utilizing Gartner products and services. What you'll do: • Manage a portfolio of 25+ member consisting of digital/technology leaders from some of the World's largest commercial and high-tech organizations with revenue size in excess of 15B+, • Get a deep understanding of the members' priorities and challenges. Help members find solutions and execute on their strategy by leveraging your own experience, Gartner's capabilities, and the trends across our client base., • Challenge the member with new ideas and innovative approaches and provide an outside "fresh eyes" perspective on their decisions and direction., • Define and deliver innovative solutions by assessing the member's top Priorities and developing a customized service plan., • Conduct briefings, strategy sessions and workshops both virtual and onsite, as well as research analyst visits, roundtables, and webinars., • Build a strong partnership with Gartner's Sales organization and collaborate with them to ensure strong member engagement and renewal of ExP business., • Present or facilitate at local ExP events Who You Are: • Someone who has been a Global CIO, CIO or senior technology executive is required., • Our most successful Executive Partners have the ability to adopt best practices, follow established processes, and embrace feedback with a mindset of continuous improvement. Gartner Executive Partners have natural curiosity and share their knowledge and expertise with Executive Programs members. They understand the members' critical priorities and build trust by delivering value and leveraging key internal partnerships to drive results., • Consulting and/or CxO/CIO roles with 20+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Big Data, Cloud, etc.), • The ideal candidate(s) should be able to demonstrate exposure to large E2E transformative initiatives having led/co-led large critical programs, • Extensive knowledge of a digital/technology leaders focus areas and an in-depth understanding of the IT industry (including leadership, IT operations management, IT and Business strategy, technology trends, performance metrics, KPI's etc.) and priorities such as the challenges of "today's" digital/technology leaders and how Gartner ExP can make the difference as an advisory organization., • Experience with key business concepts such as revenue enablement & generation, market improvement, risk reduction, and launching a P&L and adding to the top line / substantial P&L responsibility., • Project to Product experience where new revenue streams were created., • Experience with Agile / DevOps / Emerging Technologies, • Advanced critical thinking and structured problem-solving skills, • High tolerance and an advanced ability to lead and manage ambiguous situations, • Excellent relationship building and collaboration skills, • Superior verbal, written, facilitation and presentation skills (Executive Presence), • Demonstrable sales and/or business development experience with CXO level executives, • Expert skills at managing multiple priorities, • Committed to making others successful, • Naturally Collaborative, • Active listening skills, • Ability to challenge the status quo and to be provocative in a professional and engaging manner. Benefits: We offer a highly competitive rewards and benefits package including but not limited to the following; Private healthcare, 401K Match, generous paid time off, life insurance, tuition reimbursement and nuch more.All Gartner associates strive to be high performers, problem solvers, and team players with passion, integrity and effectiveness. We strive to attract exceptional people who really enjoy what they do. Are you ready to jump on board? Equality statement: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at +1203-964-0096 or by sending an email to Applicant.Assistance@gartner.com #LI-MB2 #LI - Remote Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 188,000 USD - 225,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:107149 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Job DescriptionTitle: Platform Operations EngineerLocation: New York CityPosition: Full Time EmploymentCore Responsibilities: • Manage all Digital Infrastructure related backend systems/services currently residing on AWS Cloud including users’ access, network connectivity, Linux/Windows systems, databases, and applications management., • Deploy updates and patches to servers as well as connected client systems in off-hours maintenance windows., • Identify, troubleshoot and resolve both server and client issues by analyzing logs from all digital infrastructure components., • Set up and continue to improve monitoring/alerting matrices for all supported platforms., • Proactively review key operating matrices and status to ensure all systems are running under recommended operational conditions., • Participate in designing and implementing of mechanisms for redundancy, failover, and disaster recovery., • Develop tools and scripts to automate routine tasks., • Collaborate with NOC, DevOps, and Engineering teams to harden, streamline, and document operating processes., • Work closely with Head of Digital Infrastructure to improve operability, supportability, usability, and visibility of the digital infrastructure., • Assist in continuous improvement of operational processes for better utilization of underlying cloud resources.Requirements:, • At least 5+ years of direct working experience in operating production digital infrastructure with strong scripting and system administration skills for both Linux and Windows operating systems., • At least 3 years AWS administration experience including but not limited to OpsWorks, VPC, EC2/ECS, S3, RDS, IAM, ES and EMR services, • Working knowledge of advanced message queuing and extensible messaging and presence protocols, • Working knowledge of modern system operating tools for monitoring and centralized logging., • Experience with automation and configuration management using Chef and Ansible, • Ability to use a variety of open source technologies and integrating them with cloud services, • Experience in managing PostgreSQL, MySQL, MS SQL and NoSQL clusters, • Working knowledge for securing data and ensuring operating redundancy in cloud environment, • Ability to evaluate system and application logs, error messages, stack traces to quickly identify and solve production problems, • Understanding of best practice and data center operations in an always-up, always-available setup, • Ability to create and maintain up to date infrastructure documentation including systems, networks, databases, and their interactions, • Ability to adhere to established operations procedures and policies, • Ability to create clear steps by steps knowledge base documents for NOC to follow and resolve known issues, • Participate in 24x7 on call rotations, • Bachelor’s degree in relevant fields

Job DescriptionAbout Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our centralized platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. With the support of our investors, Versana is fast becoming the technology of choice to usher in the modernization of the syndicated loan market. About You: Versana is looking for a motivated Full Stack Software Engineer to join our Application Development squad. The squad’s goal is to create, enhance and maintain Versana’s real-time syndicated loan platform. The application front-end presents a streamlined interface which provides clients access to real-time loan data and positions. The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues with broad and varied backgrounds in a dynamic, agile environment. You must have a passion for building intuitive applications and a strong understanding of front-end technologies and best practices. You must also have experience in designing, developing, and deploying secure, performant, and scalable backend services in a cloud environment. You will play a key role in all stages of Versana’s data platform development, from ideation through deployment and support.Responsibilities: • Develop and own front and back-end applications for our platform., • Work with Product and UX to address client needs with high-impact and high-visibility solutions., • Write clean, maintainable and well-documented code., • Build test automation across the full stack of our software., • Optimize the applications for performance and scalability., • Develop and maintain our design system., • Help setup the technical foundation and culture for the Application Development squad., • Help onboard and mentor new team members.Must Have:, • BS or BA in Computer Science or related field., • 5+ years of full stack development experience (backend with Java/Spring Boot, front-end with React/Angular (TypeScript/JavaScript)., • Good understanding of application architecture and performance optimization., • Adeptness at using build and development tools (Git, Maven/Gradle, Artifactory)., • Experience with REST APIs and GraphQL., • Experience working with Databases (SQL and NoSQL)., • Ability to partner with multi-functional teams and pivot quickly., • Curiosity and willingness to learn new things., • Strong communication, analytical and problem-solving skills. Nice to Have:, • Knowledge of Docker, Kubernetes and CI/CD pipelines., • End-to-end testing knowledge (Cypress/Selenium/Cucumber etc.)., • Exposure to third-party libraries (AG grid, D3 etc.)., • Familiarity with design systems (UI components, animations/transitions, accessibility)., • Experience with public cloud computing., • Knowledge of Syndicated Loans or Leveraged Finance., • History of building enterprise application software within financial domain.* The salary range for this position will be determined based on the level of technical skills and experience the candidate brings to the role. Equal Opportunity Employer We are committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs. What will you do • Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions. • Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth., • Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments., • Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity., • Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by o About you • Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering., • Have experience or a strong interest in supporting foundational compute and storage platforms., • Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards., • Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments., • Take pride in building and operating scalable, reliable, and secure systems from the ground up., • Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment. What we offer, • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST). Requirements • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule. Nice-to-Haves • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Architect, AI Systems to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals Development & Deployment • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination Infrastructure & Enablement • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Work with Data & IT product managers to determine implementation pathways and data architecture across systems Governance & Continuous Improvement • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Strong understanding of automation tools and SDLC methodologies Preferred • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • A detailed list of all benefits is located HERE Work Environment • Location and Schedule: Uncommon is an in-person organization, with a commitment of at least three days each week at our Central Office in downtown Manhattan (100 Church Street)., • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region, • Physical requirements: Minimal physical demands; role primarily involves sitting at a desk for extended periods At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job DescriptionTITLE: DevOps System AdministratorLOCATION: 140 Broadway, New York, New York Core Responsibilities: • Manage deployments to test and production environments including backend services and frontend clients, • Develop tools and scripts to automate the deployment, administration, and monitoring of AWS cloud services, • Collaborate with development team to harden, streamline, document, and establish software release processes, • Work with cross functional teams to improve operability, supportability, and usability of our digital infrastructure, • Monitor and track key health and performance matrices of systems and applications, • Identify, troubleshoot and resolve production server and client issues by analyzing logs from all digital infrastructure components, • Continue to improve operational processes for better utilization of underlying cloud resourcesRequirements:, • Strong background in Linux and Windows administration (clustering, load balancing, backup etc.), • At least 3+ years of DevOps experience with strong shell, python, and Ruby scripting skills, • Experience with automation and configuration management using Chef and Ansible, • Strong AWS administration experience including EC2/ECS, S3, RDS, VPC, OpsWorks, IAM, EMR, and ElasticSearch services, • Ability to use a variety of open-source technologies and integration with cloud services, • PostgreSQL, MySQL, and NoSQL proficiency, • Ability to evaluate system and application logs, error messages, stack traces to quickly identify and solve production problems, • Understanding of best practice and data center operations in an always-up, always-available setup, • Experience in integration of enterprise level monitoring and alerting systems, • Ability to create and maintain update to date infrastructure documentation including systems, networks, databases, and their interactions.

Job DescriptionCRM Technical Lead / Developer Location: Remote Type: W2 only contract Core CRM Platform Expertise Strong hands-on experience with CRM platforms (any one or more) Microsoft Dynamics 365 (preferred). Salesforce. Oracle CRM / SAP CRM. Deep understanding of CRM architecture, modules, and data models. Experience in customization, configuration, and extension of CRM systems Proficiency in object-oriented programming languages C# / .NET (for Dynamics) Apex, Visualforce, Lightning (for Salesforce) JavaScript / TypeScript REST/SOAP APIs integration Web services and middleware integration Hands-on experience in: Plugins, workflows, and business rules. Custom components and extensions Integration & Data Management Experience in system integrations with third-party applications (ERP, marketing tools, etc.) ETL tools and data migration. Data synchronization s transformation. Understanding of Azure Integration Services / MuleSoft / Dell Boomi (or similar) Cloud s DevOps/ Experience with cloud platforms Microsoft Azure / AWS CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Source control systems (Git, Azure Repos) Familiarity with containerization (Docker) is a plus Proven experience leading CRM development teams Conduct code reviews Define development standards and best practices Mentor junior developers Strong experience in Agile/Scrum methodologies. Troubleshooting s Support Debugging and performance tuning Issue resolution and root cause analysis Experience with production support s incident management Excellent stakeholder management Ability to collaborate with: o Business teams. o Architects. o Cross-functional technical teams Good-to-Have Skills/ Certifications Microsoft Dynamics 365 / Salesforce Certifications. Azure / Cloud certifications. Power Platform (Power Apps, Power Automate). AI/Automation in CRM. This is a remote position.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound):• Conduct strategic outreach and manage warm introductions to potential enterprise customers.• Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers:• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing:• Develop and execute strategic sales plans to convert leads into valued customers.• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement:• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives. Technical Aptitude:• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.• Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement:• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. Who you are • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the US market dynamics and enterprise landscape.• Experience of consultative selling of highly complex, technical products.• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.• Significant work experience within the AI ecosystem or related data/infrastructure field.• Experience working at a successful, fast-growing startup, ideally in deep-tech.• Strong technical skills to navigate quickly evolving products and steer technical discussions.• Excellent written and verbal communication in English, and a bonus for French.• Outstanding negotiation and communication skills to build relationships and close deals effectively. What we offer \uD83D\uDCB0 Competitive salary and equity.\uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family.\uD83D\uDC74\uD83C\uDFFB 401K : 6% matching\uD83C\uDFDD️ PTO : 18 days \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport\uD83C\uDFC0 Sport: $120/month reimbursement for gym membership\uD83E\uDD55 Meal stipend: $400 monthly allowance for meals \uD83C\uDF0E Visa sponsorship \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.Job Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy data engineering and software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • System Robustness: Implement rigorous testing, monitoring, and quality-control frameworks to ensure the accuracy of metrics like power utilization, storage consumption, and quality fall-out.Qualifications & Skills Required: • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Attention to Detail: A fanatical focus on data accuracy and the ability to audit complex transformations for logical consistency. Desired: • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics., • Decision Science: Experience applying optimization techniques or Operations Research to supply-demand imbalances. The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.