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Manager Application Security Jobs

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Explore current manager application security jobs. Use filters to narrow by work mode, employment type, experience and date posted.

H
15 days ago

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

pythonazuredocker
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CC
CCL Confidential
📍 Vancouver• Full-time• C$125K – C$200K/yr
19 days ago

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to

aigoexcel
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CC
CCL Confidential
📍 Vancouver• Full-time• C$125K – C$200K/yr
19 days ago

We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-oiled machine responsible for generating key investment insights that drive trades. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of evaluating and integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in the data space. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science, machine learning, AI, and process engineering skillsets to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your specialized role will involve building, scaling, managing and evaluating our integrated data model, in direct support of alpha research. You will be supported with coaching and mentorsh

machine learningaigo
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AI Assistant (Professional) Job Summary We are looking for a proactive and technology-oriented AI Assistant (Professional) who can effectively use Artificial Intelligence, Information Technology, and digital tools to improve productivity, automate routine tasks, support decision-making, and facilitate day-to-day professional work. Key Responsibilities • Facilitate and manage all types of work using AI and Information Technologies. • Use AI tools and applications to improve efficiency, productivity, and work quality. • Research, analyse, organise, and present information using AI and digital technologies. • Assist in preparing reports, documents, presentations, data analysis, and other professional outputs. • Identify opportunities for AI-based automation and process improvement. • Use appropriate AI tools for drafting, summarising, analysing, researching, and managing information. • Support various departments and team members in adopting and effectively using AI tools. • Maintain proper documentation and records using digital systems. • Stay updated with the latest developments in AI, automation, software, and information technology. • Ensure responsible, accurate, and confidential use of AI and technology in professional work. • Perform any other technology-related or AI-enabled tasks assigned by management. Required Skills & Qualifications • Graduate in any relevant discipline; qualification in IT, Computer Applications, Business, Commerce, or related fields will be an advantage. • Strong understanding of AI tools, productivity applications, and information technology. • Good analytical, research, and problem-solving skills. • Excellent communication and documentation skills. • Ability to learn and implement new AI tools quickly. • Good knowledge of MS Office / Google Workspace and other digital applications. • Ability to handle multiple tasks and work independently. • High level of confidentiality, accuracy, and professional responsibility. Preferred • Practical

artificial intelligenceai
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For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We're looking for a talented and motivated Senior Software Engineer II to join our Mobile engineering team. You are passionate about continuous learning and eager to grow along with us in a fast-paced, innovative environment. You will work remotely from Bulgaria and will be reporting to an engineering leader based in Bulgaria. You Will: Design and develop mobile frameworks and features for Smartsheet's native applications on both Android and iOS platforms. Guide and mentor team members regarding architecture and best practices for mobile development. Provide technical expertise, solving complex problems and offering thoughtful feedback on peer design and code reviews. Contribute to the full software development lifecycle (SDLC)—defining, designing, implementing, testing, and deploying new features. Participate in troubleshooting and root cause analysis to identify solutions and next steps for production issues. Work autonomously, overseeing essential features and collaborating cross-functionally with product managers, UI designers, senior developers, and testers. Recognize and take ownership of complex technical cross-team issues, driving them to resolution. Support development across multiple platforms (Android, iOS, Native NDK, etc.). Perform other duties as assigned You Have: 7+ years of mobile engineering experience, specializing in native mobile development. Experience in developing consumer mobile applications, with a strong understanding of the mobile ecosystem and a customer-focused attitude. Expertise in Kotlin,

REMOTEjavaawsrest
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S
Smartsheet
📍 USA-• Full-time• Remote• From $1.5M/yr
1mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. As a Software Engineer II at Smartsheet, you will help build the next generation of our platform while tackling meaningful distributed systems challenges alongside a talented engineering team. You will collaborate closely with product managers and fellow engineers through code reviews and architectural discussions, and you will have the opportunity to mentor junior engineers as you grow in your own career. This role is a strong fit for someone with a couple of years of hands-on development experience who is ready to take on more ownership, sharpen their skills in cloud infrastructure, and help shape how the team uses AI tools to work smarter and faster . You Will: Build scalable back-end services for the next generation of applications at Smartsheet (Kotlin, Java) Solve challenging distributed systems problems and work with modern cloud infrastructure (AWS, Kubernetes) Take part in code reviews and architectural discussions as you work with other software engineers and product managers Mentor junior engineers on code quality and other industry best practices Forge a strong partnership with product management and other key areas of the business Actively use AI tools to improve personal and team efficiency across coding, testing, design, and troubleshooting, exploring AI integration opportunities within team processes and features, and coaching others on effective AI use You Have: 2+ years software development experience building highly scalable, highly available applications 2+ years of programming experience with full st

REMOTEtypescriptjavaaws
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S
Smartsheet
📍 USA-• Full-time• Remote• From $1.4M/yr
1mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an Enterprise Technical Solutions Engineer who will provide technical guidance throughout the sales process. We are a fast-growing, high revenue-growth Software as a Service (SaaS) company that is changing the way teams and organizations manage work. We work in an agile environment that stays focused on building great software and supporting our colleagues. Here you can use the latest web technologies to their fullest potential. This role is part of the Worldwide Field Operations Solution Engineering team and is based remotely in the U.S. on the west coast (preferred) or east coast. You Will: Collaborate closely with the sales/presales team to develop solution proposals that align with customer requirements and deliver maximum value Be a technical resource for Presales members to include: Smartsheet API, Smartsheet Premium Applications, SSO/SAML, and understanding 3rd party APIs Respond to Solutions Engineer Requests (SERs) submitted via Salesforce for technically complex opportunities, including API integrations, enterprise architecture validation, identity/access management, and advanced automation Build proof of concepts to demonstrate the capabilities of our products and services to customers Build solution diagrams that clearly articulate the technical architecture and requirements of proposed solutions Provide expert knowledge on what can/can’t be done using Smartsheet’s products together with other tools to solve customer needs Assist with technical questions for customer RFPs

REMOTEjavascriptpythonjava
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M
Mongodb
📍 New York• Full-time• From $106K/yr
1mo ago

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at a global scale. We are responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Software Engineer to join the Atlas Identity and Access Management (IAM) team. The IAM team owns authentication and authorization for all of MongoDB Atlas, spanning from the underlying platform to user-facing features and products. IAM is both a platform and a product team, serving internal engineers as well as external customers. We enjoy the challenge of keeping MongoDB Atlas secure while providing a best-in-class user experience for users ranging from startup to enterprise. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Role Responsibilities Lead medium-sized, full-stack projects from technical design to delivery Collaborate with colleagues at all stages of the project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Candidate Profile 2+ years of professional experience building full-stack web applications Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Is collaborative, empathetic, and intellectually honest Success Measures In 1 month, you’ll have shipped code into production In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team In 6 months, you’ll have led the technical design, execution, and delivery of a project About MongoDB MongoDB is built for change, em

javascripttypescriptjava
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C
Coinbase
📍 - India• Full-time• Remote• From ₹44.1L/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. What you'll do: Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capab

REMOTEpythonawsmachine learning
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O
1mo ago

About the Team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the Role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our São Paulo, Brazil office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedd with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage rel

javascriptpythonjava
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our SF or Seattle office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relat

javascriptpythonjava
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PE
Private Employer
📍 Hyderabad• Full-time• Hybrid
1mo ago

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements.

H
12 days ago

Become a part of our caring community The Clinical Programs Pharmacist Lead will be a part of a collaborative Pharmacy Stars team which is accountable for Humana’s Stars patient safety measure performance. The Clinical Pharmacist Lead autonomously develops, implements, and manages clinical program strategies to improve Medicare members' medication adherence and appropriate medication use. The Clinical Pharmacist lead exercises independent judgment and decision making on complex issues regarding job duties and related tasks, works under minimal supervision, and analyzes variable factors to determine the best course of action. Use your skills to make an impact Required Qualifications Degree of Doctor of Pharmacy (PharmD or RPh) from an accredited School of Pharmacy Active, unrestricted pharmacy licensure 5+ years of clinical experience in managed care or pharmacy related field, or equivalent Proficient in Microsoft Office applications (especially Word, Excel, and PowerPoint) Excellent written and oral communication skills Thrives in a fast paced, multi-project work environment while still ensuring attention to detail Successful track record in facilitating and consulting across teams and managing projects Strategic thinking and planning capabilities, organized, and detail-oriented Ability to learn quickly, work under pressure and timeline, work with ambiguity, and make complex decisions as necessary to meet business need Ability to assimilate, analyze, draw conclusions, and make recommendations from complex data Preferred Qualifications Previous experience in Medicare Stars Managed care and/or community pharmacy experience or residency/fellowship Previous experience in clinical program development and leader

REMOTEExcelproject managementrecruitment
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DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: Deploy, configure, and maintain Kubernetes clusters for our microservices architecture. Utilize Git and Helm for version control and deployment management. Implement and manage monitoring solutions using Prometheus and Grafana. Work on continuous integration and continuous deployment (CI/CD) pipelines. Containerize applications using Docker and manage orchestration. Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN. Maintain and optimize MySQL databases, Airflow, and Redis instances. Write automation scripts in Bash or Python for system administration tasks. Perform Linux administration tasks and troubleshoot system issues. Utilize Ansible and Terraform for configuration management and infrastructure as code. Demonstrate knowledge of networking and load-balancing principles. Collaborate with development teams to ensure applications meet reliability and performance standards. Who you are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 2+ years of experience in a Site Reliability Engineer role or similar. Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture. Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN. Proficient in scripting languages such as Bash or Python. Hands-on experience with Linux administration. Familiarity with Ansible and Terraform fo

pythonmysqlredis
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Work Flexibility: Onsite In this position, you will partner with cross-functional teams to monitor product costs, support planning processes, manage inventory controls, and provide financial insights that help drive informed business decisions. What You Will Do Manage the annual standard cost roll-up process and maintain accurate product cost structures within financial systems. Monitor monthly and year-to-date manufacturing costs; coordinate updates to bills of materials and routing structures with operations teams. Support annual budgeting and monthly forecasting activities for the assigned business unit. Coordinate annual physical inventory counts and cycle count programs, including variance analysis and follow-up actions. Track cost reduction initiatives and report progress against established budget and productivity targets. Prepare, analyze, and submit financial and operational metrics through corporate reporting systems. Execute month-end close activities, including cost accounting entries, account reconciliations, accruals, and fixed asset depreciation. Prepare plant performance reports, capital expenditure requests, return-on-investment analyses, system-related accounting support, and ad hoc financial reporting for leadership. What You Will Need Required Qualifications Bachelor’s degree in Accounting, Finance, or a related field. Minimum 3 years of experience in Cost Accounting. Experience using Microsoft Office applications, including Excel. Professional working proficiency in English. Experience with ERP systems such as SAP, Oracle, or similar accounting platforms. Preferred Qualifications <

SAPExcelaccounting
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