Data Sales Engineer

🏢 Summary: Remote founding Sales Solutions Engineer role focused on guiding enterprise clients through data lineage, migration impact analysis, and modernization platform evaluations. The position combines pre-sales consulting, data architecture, proof-of-concept leadership, and customer-facing technical solution design for regulated industries. Compensation includes base salary, variable incentives, and opportunities to influence product and go-to-market strategy. 🗂️ Requirements: 3+ years in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or similar client-facing technical role, 5+ years working with modern and legacy data ecosystems, Experience with ETL/ELT platforms, Experience with modern data platforms and cloud technologies, Knowledge of data governance, metadata management, and data lineage, Ability to lead technical workshops, demonstrations, and proof-of-concept engagements, Strong communication skills with technical and executive stakeholders, Authorization to work in the U.S. without sponsorship, Residence in eligible U.S. states 📃 Skills: ETL, ELT, Informatica, Talend, DataStage, Snowflake, Databricks, Teradata, Fabric, Azure, AWS, Collibra, Alation, DataVault, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do - Lead technical discovery sessions with data, analytics, architecture, and platform leaders. - Assess customer environments and identify data migration risks, dependencies, and lineage challenges. - Demonstrate platform capabilities and articulate business value to both technical and executive audiences. - Own proof-of-concept (POC) engagements from planning through successful completion. - Design solution approaches that address customer modernization, governance, and migration objectives. - Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. - Collaborate closely with delivery teams to ensure a seamless transition from sales to implementation. - Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring - 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. - 5+ years of experience working with modern and legacy data ecosystems. - Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. - Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. - Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. - Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. - Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience - Data Architecture - Data Engineering - Data Governance - Data Migration & Modernization - Data Lineage & Metadata Management - Enterprise Analytics Platforms - Cloud Data Platforms - Regulated Industry Environments How You Work - Thrive in environments where processes are still being built and improved. - Enjoy helping shape products, solutions, and go-to-market motions. - Comfortable operating with ambiguity and helping define the path forward. - Approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have - Experience supporting financial services, insurance, healthcare, or public sector organizations. - Background in large-scale data migration or modernization programs. - Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. - Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. - Experience with Azure or AWS deployments within customer-controlled environments. Compensation - Base Salary: $150,000–$180,000 - Target Variable Compensation: $40,000 tied to key business growth milestones - Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location - Remote role with 25% travel. - Ideal candidate located in or near Austin, TX, though all eligible U.S. candidates will be considered. - Applicants must be authorized to work for any employer in the U.S. without sponsorship. - Candidates must reside in eligible U.S. states. Benefits Employees may be eligible for discretionary bonuses, commissions, incentive programs, and a comprehensive benefits package including medical, dental, vision, 401(k), and paid time off. Equal Opportunity FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are seeking a Data Solutions Engineer / Architect to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative, client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Senior Java Full Stack Developer role focused on building scalable enterprise applications using Java, Spring Boot, Angular, and cloud-native AWS technologies. The position involves full-stack development, microservices architecture, API integration, containerized deployments, automated testing, and CI/CD in a hybrid work environment. Candidates must have strong experience across backend, frontend, cloud, and DevOps technologies. 🗂️ Requirements: 5+ years of enterprise Java development experience, Experience with Java and Spring Boot, Experience with microservices architecture, Experience designing and integrating RESTful APIs, Full-stack development experience, Proficiency with Angular or AngularJS, Experience with JavaScript, TypeScript, HTML, and CSS, Experience with AWS cloud environments, Experience with Docker and Kubernetes, Experience with Amazon ECS or Amazon EKS, Experience with Jenkins and CI/CD pipelines, Experience with Selenium, Cucumber, JUnit, and Maven, Experience with Git-based source control, Experience working in Agile or Scrum environments, Bachelor’s degree in computer science, engineering, IT, or related field or equivalent experience, Authorization to work in the United States, Residence in Texas, North Carolina, or New Jersey 📃 Skills: Java, Spring, SpringBoot, Microservices, REST, Angular, AngularJS, TypeScript, JavaScript, HTML, CSS, AWS, Docker, Kubernetes, ECS, EKS, Selenium, Cucumber, JUnit, Maven, Jenkins, Git, GitHub, GitLab, Bitbucket, Agile, Scrum 🏢 Description: Are you a full-stack developer who enjoys building powerful Java applications, creating modern user experiences, and bringing cloud-based solutions to life?FormativGroup may have the role for you! The Role The Senior Java Full Stack Developer role is ideal for an experienced engineer who enjoys building scalable applications across both backend and front-end technologies. In this position, you will design Java-based microservices, develop modern web interfaces, integrate enterprise APIs, and support cloud-native deployments within AWS environments. You will work across the full software development lifecycle, contributing to application design, development, automated testing, deployment, and ongoing platform improvement. This role requires a hands-on developer who can solve complex technical challenges while delivering reliable, secure, and high-performing enterprise applications. About FormativGroup FormativGroup is a technology consulting and implementation partner that helps organizations modernize platforms, improve operations, and deliver meaningful digital transformation. Our teams bring deep expertise across software engineering, data and analytics, cloud technology, enterprise platforms, and business transformation. We believe successful technology solutions begin with strong collaboration, practical innovation, and people who are passionate about solving complex business challenges. At FormativGroup, you will work alongside experienced professionals while contributing to technology initiatives that create measurable impact for our clients. What You'll Do Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and microservices-based architecture. Build secure, reliable, and reusable RESTful APIs that connect backend services, applications, and external systems. Develop responsive and intuitive user interfaces using Angular, AngularJS, TypeScript, JavaScript, HTML, and CSS. Participate in application architecture, technical design, coding, testing, deployment, and production support. Develop cloud-native applications and support deployments within AWS environments. Build, deploy, and maintain containerized applications using Docker, Amazon ECS, Amazon EKS, and Kubernetes. Troubleshoot application, integration, performance, and deployment issues across the full technology stack. Create and maintain automated functional, integration, and regression testing frameworks. Develop automated test suites using Selenium, Cucumber, Maven, and related testing tools. Support continuous integration and continuous delivery processes using Jenkins and other DevOps technologies. Collaborate with product owners, architects, quality engineers, DevOps teams, and other developers to deliver high-quality solutions. Participate in code reviews and help establish development standards, reusable patterns, and software engineering best practices. Improve application performance, reliability, security, scalability, and maintainability. Produce clear technical documentation for application architecture, APIs, deployments, and operational support. What You'll Bring 7+ years of professional experience developing enterprise applications using Java. Strong hands-on experience with Java, Spring Boot, Spring Framework, and microservices architecture. Experience designing, developing, documenting, and integrating RESTful APIs. Strong full-stack development experience across backend services and front-end applications. Proficiency with Angular or AngularJS and modern front-end development technologies. Experience with JavaScript, TypeScript, HTML, CSS, and responsive user-interface development. Hands-on experience developing or deploying applications within AWS cloud environments. Experience with Docker, Kubernetes, Amazon ECS, or Amazon EKS. Understanding of distributed systems, service-oriented architecture, and cloud-native application patterns. Experience supporting CI/CD pipelines and automated deployments using Jenkins. Hands-on experience with automated testing tools such as Selenium, Cucumber, JUnit, and Maven. Ability to build and maintain functional, integration, and regression test suites. Experience with source-control platforms such as Git, GitHub, GitLab, or Bitbucket. Strong troubleshooting, debugging, and application-performance analysis skills. Experience working within Agile or Scrum software-development environments. Strong communication skills and the ability to collaborate with both technical and business stakeholders. Bachelor's degree in computer science, information technology, engineering, or a related discipline, or equivalent professional experience. Location and Work Requirements This is a hybrid position operating on a rotating schedule of one week onsite at the client office followed by one week working remotely. The first week of employment will require onsite attendance for orientation and identity verification. Candidates are preferred near the following client locations: Westlake, Texas, Raleigh, North Carolina, Jersey City, New Jersey To be considered for this position, candidates must currently reside in one of the following states: Texas, North Carolina, New Jersey Candidates must reside within the physical United States. Candidates residing outside the listed states are not currently eligible for consideration. Applicants must be authorized to work for any employer in the United States. FormativGroup is unable to provide employment-visa sponsorship or assume sponsorship of an existing employment visa at this time. Relocation assistance and relocation expenses are not available for this position. This opportunity is not open to third-party agencies, C2C arrangements, or subcontracting engagements. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated hourly Compensation Range:$42—$50 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Senior Java Full Stack Developer role focused on building scalable enterprise applications using Java, Spring Boot, microservices, Angular, and AWS cloud technologies. The position involves full software development lifecycle responsibilities including API development, cloud-native deployments, containerization, automated testing, and CI/CD support in a hybrid work environment. 🗂️ Requirements: 5+ years of enterprise Java development experience, Experience with Java and Spring Boot, Experience with microservices architecture, Experience designing and integrating RESTful APIs, Full-stack development experience, Proficiency with Angular or AngularJS, Experience with JavaScript, TypeScript, HTML, and CSS, Experience with AWS cloud environments, Experience with Docker and Kubernetes, Experience with Jenkins and CI/CD pipelines, Experience with Selenium, Cucumber, JUnit, and Maven, Experience with Git-based source control, Experience working in Agile or Scrum environments, Bachelor’s degree in computer science, engineering, IT, or related field, Authorization to work in the United States, Residence in Texas, North Carolina, or New Jersey 📃 Skills: Java, Spring, SpringBoot, Microservices, REST, Angular, AngularJS, TypeScript, JavaScript, HTML, CSS, AWS, Docker, Kubernetes, ECS, EKS, Selenium, Cucumber, JUnit, Maven, Jenkins, Git, GitHub, GitLab, Bitbucket, Agile, Scrum 🏢 Description: Are you a full-stack developer who enjoys building powerful Java applications, creating modern user experiences, and bringing cloud-based solutions to life?FormativGroup may have the role for you! The Role The Senior Java Full Stack Developer role is ideal for an experienced engineer who enjoys building scalable applications across both backend and front-end technologies. In this position, you will design Java-based microservices, develop modern web interfaces, integrate enterprise APIs, and support cloud-native deployments within AWS environments. You will work across the full software development lifecycle, contributing to application design, development, automated testing, deployment, and ongoing platform improvement. This role requires a hands-on developer who can solve complex technical challenges while delivering reliable, secure, and high-performing enterprise applications. About FormativGroup FormativGroup is a technology consulting and implementation partner that helps organizations modernize platforms, improve operations, and deliver meaningful digital transformation. Our teams bring deep expertise across software engineering, data and analytics, cloud technology, enterprise platforms, and business transformation. We believe successful technology solutions begin with strong collaboration, practical innovation, and people who are passionate about solving complex business challenges. At FormativGroup, you will work alongside experienced professionals while contributing to technology initiatives that create measurable impact for our clients. What You'll Do Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and microservices-based architecture. Build secure, reliable, and reusable RESTful APIs that connect backend services, applications, and external systems. Develop responsive and intuitive user interfaces using Angular, AngularJS, TypeScript, JavaScript, HTML, and CSS. Participate in application architecture, technical design, coding, testing, deployment, and production support. Develop cloud-native applications and support deployments within AWS environments. Build, deploy, and maintain containerized applications using Docker, Amazon ECS, Amazon EKS, and Kubernetes. Troubleshoot application, integration, performance, and deployment issues across the full technology stack. Create and maintain automated functional, integration, and regression testing frameworks. Develop automated test suites using Selenium, Cucumber, Maven, and related testing tools. Support continuous integration and continuous delivery processes using Jenkins and other DevOps technologies. Collaborate with product owners, architects, quality engineers, DevOps teams, and other developers to deliver high-quality solutions. Participate in code reviews and help establish development standards, reusable patterns, and software engineering best practices. Improve application performance, reliability, security, scalability, and maintainability. Produce clear technical documentation for application architecture, APIs, deployments, and operational support. What You'll Bring 7+ years of professional experience developing enterprise applications using Java. Strong hands-on experience with Java, Spring Boot, Spring Framework, and microservices architecture. Experience designing, developing, documenting, and integrating RESTful APIs. Strong full-stack development experience across backend services and front-end applications. Proficiency with Angular or AngularJS and modern front-end development technologies. Experience with JavaScript, TypeScript, HTML, CSS, and responsive user-interface development. Hands-on experience developing or deploying applications within AWS cloud environments. Experience with Docker, Kubernetes, Amazon ECS, or Amazon EKS. Understanding of distributed systems, service-oriented architecture, and cloud-native application patterns. Experience supporting CI/CD pipelines and automated deployments using Jenkins. Hands-on experience with automated testing tools such as Selenium, Cucumber, JUnit, and Maven. Ability to build and maintain functional, integration, and regression test suites. Experience with source-control platforms such as Git, GitHub, GitLab, or Bitbucket. Strong troubleshooting, debugging, and application-performance analysis skills. Experience working within Agile or Scrum software-development environments. Strong communication skills and the ability to collaborate with both technical and business stakeholders. Bachelor's degree in computer science, information technology, engineering, or a related discipline, or equivalent professional experience. Location and Work Requirements This is a hybrid position operating on a rotating schedule of one week onsite at the client office followed by one week working remotely. The first week of employment will require onsite attendance for orientation and identity verification. Candidates are preferred near the following client locations: Westlake, Texas, Raleigh, North Carolina, Jersey City, New Jersey To be considered for this position, candidates must currently reside in one of the following states: Texas, North Carolina, New Jersey Candidates must reside within the physical United States. Candidates residing outside the listed states are not currently eligible for consideration. Applicants must be authorized to work for any employer in the United States. FormativGroup is unable to provide employment-visa sponsorship or assume sponsorship of an existing employment visa at this time. Relocation assistance and relocation expenses are not available for this position. This opportunity is not open to third-party agencies, C2C arrangements, or subcontracting engagements. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated hourly Compensation Range:$42—$50 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Senior Java Full Stack Developer role focused on building scalable enterprise applications using Java, Spring Boot, Angular, and AWS cloud technologies. The position involves full software development lifecycle responsibilities including microservices, REST APIs, containerized deployments, automated testing, and CI/CD in a hybrid work environment. Candidates must have strong full-stack development experience, cloud deployment expertise, and be authorized to work in the United States. 🗂️ Requirements: 5+ years of enterprise Java development experience, Experience with Java and Spring Boot, Experience with microservices architecture, RESTful API development experience, Full-stack development experience, Experience with Angular or AngularJS, Experience with JavaScript, TypeScript, HTML, and CSS, AWS cloud environment experience, Experience with Docker and Kubernetes, CI/CD pipeline experience with Jenkins, Automated testing experience with Selenium, Cucumber, JUnit, and Maven, Experience with Git-based source control systems, Experience working in Agile or Scrum environments, Bachelor’s degree in computer science, engineering, IT, or related field or equivalent experience, Must reside in Texas, North Carolina, or New Jersey, Must be authorized to work in the United States without visa sponsorship 📃 Skills: Java, Spring, SpringBoot, Microservices, REST, Angular, AngularJS, TypeScript, JavaScript, HTML, CSS, AWS, Docker, Kubernetes, ECS, EKS, Selenium, Cucumber, JUnit, Maven, Jenkins, Git, GitHub, GitLab, Bitbucket, Agile, Scrum 🏢 Description: Are you a full-stack developer who enjoys building powerful Java applications, creating modern user experiences, and bringing cloud-based solutions to life?FormativGroup may have the role for you! The Role The Senior Java Full Stack Developer role is ideal for an experienced engineer who enjoys building scalable applications across both backend and front-end technologies. In this position, you will design Java-based microservices, develop modern web interfaces, integrate enterprise APIs, and support cloud-native deployments within AWS environments. You will work across the full software development lifecycle, contributing to application design, development, automated testing, deployment, and ongoing platform improvement. This role requires a hands-on developer who can solve complex technical challenges while delivering reliable, secure, and high-performing enterprise applications. About FormativGroup FormativGroup is a technology consulting and implementation partner that helps organizations modernize platforms, improve operations, and deliver meaningful digital transformation. Our teams bring deep expertise across software engineering, data and analytics, cloud technology, enterprise platforms, and business transformation. We believe successful technology solutions begin with strong collaboration, practical innovation, and people who are passionate about solving complex business challenges. At FormativGroup, you will work alongside experienced professionals while contributing to technology initiatives that create measurable impact for our clients. What You'll Do Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and microservices-based architecture. Build secure, reliable, and reusable RESTful APIs that connect backend services, applications, and external systems. Develop responsive and intuitive user interfaces using Angular, AngularJS, TypeScript, JavaScript, HTML, and CSS. Participate in application architecture, technical design, coding, testing, deployment, and production support. Develop cloud-native applications and support deployments within AWS environments. Build, deploy, and maintain containerized applications using Docker, Amazon ECS, Amazon EKS, and Kubernetes. Troubleshoot application, integration, performance, and deployment issues across the full technology stack. Create and maintain automated functional, integration, and regression testing frameworks. Develop automated test suites using Selenium, Cucumber, Maven, and related testing tools. Support continuous integration and continuous delivery processes using Jenkins and other DevOps technologies. Collaborate with product owners, architects, quality engineers, DevOps teams, and other developers to deliver high-quality solutions. Participate in code reviews and help establish development standards, reusable patterns, and software engineering best practices. Improve application performance, reliability, security, scalability, and maintainability. Produce clear technical documentation for application architecture, APIs, deployments, and operational support. What You'll Bring 7+ years of professional experience developing enterprise applications using Java. Strong hands-on experience with Java, Spring Boot, Spring Framework, and microservices architecture. Experience designing, developing, documenting, and integrating RESTful APIs. Strong full-stack development experience across backend services and front-end applications. Proficiency with Angular or AngularJS and modern front-end development technologies. Experience with JavaScript, TypeScript, HTML, CSS, and responsive user-interface development. Hands-on experience developing or deploying applications within AWS cloud environments. Experience with Docker, Kubernetes, Amazon ECS, or Amazon EKS. Understanding of distributed systems, service-oriented architecture, and cloud-native application patterns. Experience supporting CI/CD pipelines and automated deployments using Jenkins. Hands-on experience with automated testing tools such as Selenium, Cucumber, JUnit, and Maven. Ability to build and maintain functional, integration, and regression test suites. Experience with source-control platforms such as Git, GitHub, GitLab, or Bitbucket. Strong troubleshooting, debugging, and application-performance analysis skills. Experience working within Agile or Scrum software-development environments. Strong communication skills and the ability to collaborate with both technical and business stakeholders. Bachelor's degree in computer science, information technology, engineering, or a related discipline, or equivalent professional experience. Location and Work Requirements This is a hybrid position operating on a rotating schedule of one week onsite at the client office followed by one week working remotely. The first week of employment will require onsite attendance for orientation and identity verification. Candidates are preferred near the following client locations: Westlake, Texas, Raleigh, North Carolina, Jersey City, New Jersey To be considered for this position, candidates must currently reside in one of the following states: Texas, North Carolina, New Jersey Candidates must reside within the physical United States. Candidates residing outside the listed states are not currently eligible for consideration. Applicants must be authorized to work for any employer in the United States. FormativGroup is unable to provide employment-visa sponsorship or assume sponsorship of an existing employment visa at this time. Relocation assistance and relocation expenses are not available for this position. This opportunity is not open to third-party agencies, C2C arrangements, or subcontracting engagements. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated hourly Compensation Range:$42—$50 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Engineering Manager role leading the Evaluation & Annotation team within an AI platform, focused on AI model evaluation, human annotation tooling, and synthetic dataset standards. The position combines technical leadership with hands-on engineering to build scalable AI infrastructure for training and inference. You will define technical roadmap, scale the team, and collaborate across AI, data, and infrastructure teams. 🗂️ Requirements: Experience leading software engineering teams, Strong backend engineering experience, Strong data engineering experience, Infrastructure engineering experience, Experience with AI model evaluation workflows, Experience designing data pipelines and storage systems, Hands-on coding and conducting code reviews, Ability to use and validate AI coding tools in development workflows 📃 Skills: AI, LLM, Backend, Data, Infrastructure, Evaluation, Annotation, Pipelines, Storage, Python, Git 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Manage and grow the Evaluation & Annotation team, directly managing 6-8 engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage and data pipelines to our needs Create a strong team culture aligned with our engineering standards and our customer focus Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: A Software Engineer at heart with a previous experience leading software engineering teams, as a tech lead or people manager Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams Interested in working on an early stage project with many challenges to solve and a fast iteration cycle You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Staff Engineer role focused on leading the design and evolution of large-scale distributed systems and data infrastructure supporting high-growth, high-throughput observability platforms. The position combines deep hands-on technical contribution with cross-team architectural leadership and long-term technical strategy ownership. You will drive high-impact initiatives such as distributed storage engines, real-time streaming infrastructure, and large-scale system re-architecture. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years backend, infrastructure, or distributed systems engineering experience, 4+ years leading complex cross-team technical initiatives, Proven design and delivery of large-scale distributed systems, Expertise in distributed storage, event streaming, networking, data infrastructure, or observability, Experience optimizing performance and reliability in high-scale systems, Ability to define architecture across multiple teams, Experience with AI coding tools and validation of AI-generated code 📃 Skills: DistributedSystems, Backend, Infrastructure, DistributedStorage, EventStreaming, Networking, DataInfrastructure, Observability, SystemDesign, Architecture, PerformanceOptimization, Reliability, Scalability, AI 🏢 Description: About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines. Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production. Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy. Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems. Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent practical experience. You have 10+ years of backend, infrastructure, or distributed systems engineering experience. You have 4+ years of experience leading complex technical initiatives and cross-team projects.You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs. You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve. You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision. You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas. You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$272,000—$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role responsible for setting technical vision and delivering AI-powered products across the platform, from research and model development to production operations. The position oversees multiple teams building ML models, agentic systems, and conversational AI solutions at large scale. It combines hands-on AI expertise with organizational leadership to drive end-to-end AI strategy and operational excellence. 🗂️ Requirements: Strong background in AI, Machine Learning, or Data Science, Proven experience building and shipping ML or AI products in production, Experience leading multiple engineering and applied science teams, Deep expertise in LLMs, agentic systems, anomaly detection, time-series modeling, NLP, RAG, or ML infrastructure, Experience owning ML systems from data pipelines to deployment and operations, Ability to define technical strategy and partner with Product, BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: MachineLearning, DataScience, LLMs, NLP, RAG, AnomalyDetection, TimeSeries, MLInfrastructure, ConversationalAI, AgenticSystems, DataPipelines, ModelTraining, ModelDeployment, MLOps 🏢 Description: Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform Set technical vision and strategy for your area in partnership with Product Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality Hire and plan for organizational growth as the AI group scales Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Proven track record building and shipping ML or AI-powered products in production Experience leading and mentoring multiple teams, including senior engineers and engineering managers Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans A strong people manager who can attract, develop, and retain top AI and engineering talent BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role responsible for building and scaling a mixed-methods user research practice that integrates qualitative insights, quantitative data, and AI-driven synthesis to drive product strategy and measurable business impact. The position focuses on transforming complex technical signals into user-centered experiences and embedding research deeply into the product development lifecycle. The role also involves developing AI-enabled research workflows and enabling cross-functional teams with advanced research methodologies. 🗂️ Requirements: 10+ years in user research or product design, Experience building and managing research teams, Expertise in qualitative research methodologies, Expertise in quantitative research methodologies, Ability to analyze product telemetry and statistical data, Experience influencing product strategy through research, Experience linking research outcomes to business metrics, Understanding of modern software development and infrastructure, Experience using AI tools in research workflows 📃 Skills: QualitativeResearch, QuantitativeResearch, Telemetry, Statistics, AI, GPT, DataAnalysis, UXResearch, ProductAnalytics, Infrastructure 🏢 Description: Datadog is hiring a Research leader to define the next evolution of our research practice. You will lead a group that integrates human insights with quantitative depth and AI-driven synthesis to build the right products for our customers while driving measurable business impact. At Datadog, we help customers visualize and troubleshoot complex, distributed systems at scale and keep them healthy. As the Director of User Research, you will lead the charge in transforming dense technical signals into human-centric experiences by establishing a research culture that is fast, actionable, and deeply integrated into our product development lifecycle. In this role, you will build a lean, high-impact team of researchers while simultaneously empowering our entire design and product organization with the methods and tools needed to deeply understand customer pain points and motivations. You will be responsible for moving the team beyond tactical, project-level work toward strategic influence that drives measurable business outcomes. What you’ll do: Grow, manage and mentor a talented group of researchers to operate at the frontier of the field. Establish a Mixed-Methods Practice ensuring researchers can analyze product telemetry and statistical data ("the what") alongside qualitative insights ("the why"). Scale Research Capabilities by defining inquiry methods and teaching the broader organization (designers and PMs) how to use them to run deep, insight-driven probes. Take accountability for the business metrics influenced by research findings. You will be expected to demonstrate business impact through the work that you lead. Build the foundation for AI as a research collaborator, using tools like custom GPTs and synthetic personas to accelerate synthesis and provide real-time deliverables. Collaborate with the Head of Design, design and cross functional leaders to establish roadmaps and ensure research insights are grounded in both technical reality and user needs. Who You Are: 10-15+ years in user research or product design, with experience building and managing high-performing teams. Proficient in both qualitative and quantitative methodologies, with the ability to size and validate behavioral patterns using data. Proven track record of moving research beyond "usability testing" to impacting product direction and business metrics. Comfortable navigating the technical complexities of modern software development and infrastructure. Excited by the potential of AI to transform how research is conducted, synthesized, and shared. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$220,000—$320,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.