Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. This Data Analyst III focuses on enterprise provider analytics to measure and report the actual impact of contract and network changes against projected outcomes. The team delivers standardized, structured reporting to track implementation accuracy and validate savings. With clearly defined initiatives and QAIs, the goal is consistent measurement to support network strategy and business decision-making. Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools Contribute to the planning and execution of large-scale projects with limited direction from leadership Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners Independently engage with customers and business partners to gather requirements and validate results Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required Provide technical guidance to junior analysts Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying languages. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified. Pay Range: $70,100.00 - $126,200.00 per year At Centene, we connect people to the care they need to live healthier lives - and the work you do here makes that impact real every day. You'll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It's work with a purpose you can see, backed by a team committed to improving lives well beyond the workday. Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/25/2026
Full time
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. This Data Analyst III focuses on enterprise provider analytics to measure and report the actual impact of contract and network changes against projected outcomes. The team delivers standardized, structured reporting to track implementation accuracy and validate savings. With clearly defined initiatives and QAIs, the goal is consistent measurement to support network strategy and business decision-making. Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools Contribute to the planning and execution of large-scale projects with limited direction from leadership Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners Independently engage with customers and business partners to gather requirements and validate results Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required Provide technical guidance to junior analysts Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying languages. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified. Pay Range: $70,100.00 - $126,200.00 per year At Centene, we connect people to the care they need to live healthier lives - and the work you do here makes that impact real every day. You'll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It's work with a purpose you can see, backed by a team committed to improving lives well beyond the workday. Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Job Summary We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms. Responsibilities Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem. Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture. Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency. Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines. Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency. Ensure data quality, integrity, and security throughout the entire data lifecycle. Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency. Qualifications Required: 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem. Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering. Proven experience developing and automating microservice integrations to support data-intensive applications. Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala. Strong SQL skills and experience with various relational databases. Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation. Excellent communication, collaboration, and problem-solving skills. Preferred: Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP). Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces. Practical experience applying AI/ML techniques to solve real-world business problems. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management). Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate). Education Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Rutherford New Jersey United States Primary Location Full Time Salary Range: $121,200.00 - $181,800.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Anticipated Posting Close Date: Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
09/25/2026
Full time
Job Summary We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms. Responsibilities Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem. Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture. Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency. Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines. Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency. Ensure data quality, integrity, and security throughout the entire data lifecycle. Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency. Qualifications Required: 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem. Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering. Proven experience developing and automating microservice integrations to support data-intensive applications. Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala. Strong SQL skills and experience with various relational databases. Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation. Excellent communication, collaboration, and problem-solving skills. Preferred: Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP). Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces. Practical experience applying AI/ML techniques to solve real-world business problems. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management). Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate). Education Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Rutherford New Jersey United States Primary Location Full Time Salary Range: $121,200.00 - $181,800.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Anticipated Posting Close Date: Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. We are seeking a highly skilled Associate, Quantitative DevOps Engineer to join our Quantitative Investment Science organization. This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful candidate will collaborate with quantitative researchers, data and application engineers, vendors, and IT partners. They will develop, deploy, and support robust CI/CD pipelines and cloud-based environments. You will play a critical role in supporting the full application and data lifecycle-from development through production-within our Azure-based Investment Data Analytics Platform. Your contributions will directly enhance development efficiency, system reliability, and operational excellence across the organization. The ideal candidate is someone who: Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-based environments. Demonstrated experience implementing and administering Git-based repositories, including branching and version control standards. Proven expertise in CI/CD pipeline development and deployment automation, including the use of approval gates. Strong scripting capabilities in Bash, Python, and/or PowerShell. Working knowledge of Snowflake and data platform ecosystems. Experience managing cloud infrastructure using infrastructure-as- code methodologies, ideally within Microsoft Azure. Proficiency with containerization technologies such as Docker or Podman. Strong background in configuration management, security, and operational rigor. Proven track record to support production environments, manage incidents, diagnose sophisticated issues, and coordinate resolution efforts. Demonstrated success delivering results on fast-paced, complicated projects. Excellent verbal and written communication skills, with the ability to engage effectively with technical and non-technical collaborators at all levels. What you will do: Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes across development, test, and production environments. Provide DevOps and process automation expertise to improve the efficiency, scalability, and reliability of data-centric and analytical applications. Support the ongoing maintenance, stability, and performance of a Microsoft Azure cloud. Administer and enforce Git-based source control, including branching strategies, versioning standards, and code promotion practices. Develop and maintain infrastructure-as-code (IaC) solutions for managing cloud storage, compute, and networking resources. Leverage containerization technologies (Docker or Podman) to standardize application deployments. Apply strong configuration management and security guidelines, ensuring alignment with enterprise standards. Provide production support, including issue triage, root cause analysis, prioritization, and coordination with analysts and engineers for timely resolution. Collaborate closely with data engineers, researchers, product, and platform engineering to support high-complexity, important initiatives. Contribute to the continuous improvement of DevOps standards, tools, and operational processes. What you bring: High energy and collaborative work style Proficient in using scripting languages to develop quick prototypes and proof-of-concepts A track record of completed high-intensity, high-complexity projects Experience with business intelligence tools such as Tableau, Power BI, or equivalent Skilled in implementing and managing DevOps practices, CI/CD pipelines Education Preferred: Bachelor of Arts (B.A) degree or equivalent experience Bachelor of Science (B.S) credential or equivalent experience Experience: 6 Years of DevOps experience in cloud based, software delivery Experience working within the financial services or investment management industry Base Salary Range $135,000.00 - $145,000.00 This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.
09/24/2026
Full time
Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. We are seeking a highly skilled Associate, Quantitative DevOps Engineer to join our Quantitative Investment Science organization. This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful candidate will collaborate with quantitative researchers, data and application engineers, vendors, and IT partners. They will develop, deploy, and support robust CI/CD pipelines and cloud-based environments. You will play a critical role in supporting the full application and data lifecycle-from development through production-within our Azure-based Investment Data Analytics Platform. Your contributions will directly enhance development efficiency, system reliability, and operational excellence across the organization. The ideal candidate is someone who: Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-based environments. Demonstrated experience implementing and administering Git-based repositories, including branching and version control standards. Proven expertise in CI/CD pipeline development and deployment automation, including the use of approval gates. Strong scripting capabilities in Bash, Python, and/or PowerShell. Working knowledge of Snowflake and data platform ecosystems. Experience managing cloud infrastructure using infrastructure-as- code methodologies, ideally within Microsoft Azure. Proficiency with containerization technologies such as Docker or Podman. Strong background in configuration management, security, and operational rigor. Proven track record to support production environments, manage incidents, diagnose sophisticated issues, and coordinate resolution efforts. Demonstrated success delivering results on fast-paced, complicated projects. Excellent verbal and written communication skills, with the ability to engage effectively with technical and non-technical collaborators at all levels. What you will do: Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes across development, test, and production environments. Provide DevOps and process automation expertise to improve the efficiency, scalability, and reliability of data-centric and analytical applications. Support the ongoing maintenance, stability, and performance of a Microsoft Azure cloud. Administer and enforce Git-based source control, including branching strategies, versioning standards, and code promotion practices. Develop and maintain infrastructure-as-code (IaC) solutions for managing cloud storage, compute, and networking resources. Leverage containerization technologies (Docker or Podman) to standardize application deployments. Apply strong configuration management and security guidelines, ensuring alignment with enterprise standards. Provide production support, including issue triage, root cause analysis, prioritization, and coordination with analysts and engineers for timely resolution. Collaborate closely with data engineers, researchers, product, and platform engineering to support high-complexity, important initiatives. Contribute to the continuous improvement of DevOps standards, tools, and operational processes. What you bring: High energy and collaborative work style Proficient in using scripting languages to develop quick prototypes and proof-of-concepts A track record of completed high-intensity, high-complexity projects Experience with business intelligence tools such as Tableau, Power BI, or equivalent Skilled in implementing and managing DevOps practices, CI/CD pipelines Education Preferred: Bachelor of Arts (B.A) degree or equivalent experience Bachelor of Science (B.S) credential or equivalent experience Experience: 6 Years of DevOps experience in cloud based, software delivery Experience working within the financial services or investment management industry Base Salary Range $135,000.00 - $145,000.00 This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.
Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities Develop a deep understanding of the related data sources and leverage them to inform business decisions Develop a deep understanding of our analytical tools and the automation of business processes and decision-making Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment Dive into business problems and analyze opportunities for growth You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Requirements 3+years of experience in an analytical role is required Inquisitive mindset that is willing to challenge status quo and various stakeholders Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis. Experience in using SQL with enterprise datasets is required Experience in R or Python is required Experience with Tableau or other related Business Intelligence Tool is required Experience with automation in an enterprise setting is a major place The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet's Employee Privacy Notice here.
09/23/2026
Full time
Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities Develop a deep understanding of the related data sources and leverage them to inform business decisions Develop a deep understanding of our analytical tools and the automation of business processes and decision-making Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment Dive into business problems and analyze opportunities for growth You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Requirements 3+years of experience in an analytical role is required Inquisitive mindset that is willing to challenge status quo and various stakeholders Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis. Experience in using SQL with enterprise datasets is required Experience in R or Python is required Experience with Tableau or other related Business Intelligence Tool is required Experience with automation in an enterprise setting is a major place The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet's Employee Privacy Notice here.
Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . Our Revenue Strategy & Analytics team is seeking a deeply technical and strategic Senior Business Analyst to build and maintain the analytical tooling and data infrastructure that powers our Large Customer Sales (LCS) business channel. This pivotal role requires expertise in BigQuery and SQL to manage ETL workflows and data pipelines , and a proven ability to build and scale dashboards . The successful candidate will leverage these technical foundations to drive sales rigor, optimize performance, and propel our overall revenue strategy, while helping build the agentic analytics tooling that allows Reddit's GTM strategy to move at the speed of the question. You'll need to be fluent in SQL, BigQuery, and developing dashboards. The right individual is comfortable diving into complex data ecosystems and enjoys translating those insights into tangible business impact. Location : Remote, but within commuting distance of our NYC, Chicago, SF, or LA offices Responsibilities: Strategic Collaboration with Sales, Go-To-Market Strategy, Finance, Product, and Data Science to deliver analytics that shape Reddit's revenue strategy. Build AI-ready data foundations: Develop and govern the semantic models and contextual business logic required to power both traditional dashboards and emerging AI-driven analytical tools, ensuring high-quality, trusted outputs across all consumption layers. Translate insights into action , guiding business partners through complex data findings to identify growth opportunities and optimize performance. Drive operational excellence , ensuring on-time delivery of insights, automation of recurring reporting, and continuous improvement of data models. Partner with the Data Science and Salesforce teams to manage & enhance the revenue data foundations , including ETL workflows, Salesforce-to-revenue mappings, and data pipelines in BigQuery. Qualifications: Educational Background: Bachelor's degree or higher. 4+ years of relevant work experience in sales operations, business operations, consulting, investment banking, or similar roles 3+ years experience with SQL and relational databases 3+ years experience developing dashboards in Looker or similar Experience with large-scale data processing and analysis; knowledge of BigQuery a plus Experience leveraging AI-assisted coding and development tools to accelerate analysis and data workflows Strategic and analytical capability: Proven ability to think strategically and translate data into insights and actions that drive measurable business outcomes. Communication Skills: Excellent verbal and written communication abilities. Winning Mindset: Proactive, ambitious, practical and gets results with urgency Experience in the online marketing and advertising industry is preferred. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $167,500-$234,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
09/23/2026
Full time
Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . Our Revenue Strategy & Analytics team is seeking a deeply technical and strategic Senior Business Analyst to build and maintain the analytical tooling and data infrastructure that powers our Large Customer Sales (LCS) business channel. This pivotal role requires expertise in BigQuery and SQL to manage ETL workflows and data pipelines , and a proven ability to build and scale dashboards . The successful candidate will leverage these technical foundations to drive sales rigor, optimize performance, and propel our overall revenue strategy, while helping build the agentic analytics tooling that allows Reddit's GTM strategy to move at the speed of the question. You'll need to be fluent in SQL, BigQuery, and developing dashboards. The right individual is comfortable diving into complex data ecosystems and enjoys translating those insights into tangible business impact. Location : Remote, but within commuting distance of our NYC, Chicago, SF, or LA offices Responsibilities: Strategic Collaboration with Sales, Go-To-Market Strategy, Finance, Product, and Data Science to deliver analytics that shape Reddit's revenue strategy. Build AI-ready data foundations: Develop and govern the semantic models and contextual business logic required to power both traditional dashboards and emerging AI-driven analytical tools, ensuring high-quality, trusted outputs across all consumption layers. Translate insights into action , guiding business partners through complex data findings to identify growth opportunities and optimize performance. Drive operational excellence , ensuring on-time delivery of insights, automation of recurring reporting, and continuous improvement of data models. Partner with the Data Science and Salesforce teams to manage & enhance the revenue data foundations , including ETL workflows, Salesforce-to-revenue mappings, and data pipelines in BigQuery. Qualifications: Educational Background: Bachelor's degree or higher. 4+ years of relevant work experience in sales operations, business operations, consulting, investment banking, or similar roles 3+ years experience with SQL and relational databases 3+ years experience developing dashboards in Looker or similar Experience with large-scale data processing and analysis; knowledge of BigQuery a plus Experience leveraging AI-assisted coding and development tools to accelerate analysis and data workflows Strategic and analytical capability: Proven ability to think strategically and translate data into insights and actions that drive measurable business outcomes. Communication Skills: Excellent verbal and written communication abilities. Winning Mindset: Proactive, ambitious, practical and gets results with urgency Experience in the online marketing and advertising industry is preferred. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $167,500-$234,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Job DescriptionJob DescriptionCompany Overview: SPMB is one of the largest retained executive search firms in North America focused exclusively on technology and innovation. With a 45-year legacy rooted in Silicon Valley, the firm has built leadership teams for disruptive startups and Fortune 500 companies alike, closing more than 400 searches annually. Clients include Google, Amazon, Disney, Comcast, and Major League Baseball. For an associate joining Managing Partner Mike Doonan's practice, SPMB offers a high-caliber yet human environment that stands apart from both the global giants and boutique firms. SPMB uniquely blends the reach and resources of a large firm with the agility of a boutique. Unlike global firms burdened by "off-limits" restrictions, SPMB can target virtually any candidate while also bringing far greater research capacity than smaller competitors. Its partners are known for rescuing searches that other firms cannot complete, thanks to deep fluency in technology and relentless urgency. Clients consistently cite SPMB's speed, consultative approach, and ability to deliver fresh candidate slates rather than recycled lists. What sets SPMB apart is its long-term, relationship-driven ethos. The majority of searches come from repeat clients or referrals, a testament to decades of trust built "brick by brick." The firm prioritizes cultural fit and integrity over transactions, treating candidates with respect and committing to diverse slates for every search. By investing in authentic partnerships, SPMB has created a network where today's candidates often return as tomorrow's clients. Even in challenging markets, SPMB has stayed true to this long-game philosophy, focusing on people, process improvements, and employee growth. Every search at SPMB is partner-led, heavily resourced, and executed with precision. The firm's proprietary 4 4 process aims to present four qualified finalists by week four, supported by dedicated research teams. Radical transparency is delivered through Thrive TRM, a co-developed platform giving clients real-time visibility into every candidate. Today, SPMB serves venture-backed startups, PE-backed growth firms, and global enterprises alike-helping companies of all sizes build the technology leadership needed to thrive in the digital era. Position Overview: SPMB is looking for a thoughtful and professional Associate who will serve as a key member of the client delivery team by driving the candidate development process throughout each VP and C-level executive search. This role partners closely with the Partner and analyst to help deliver outstanding outcomes for our clients. Associates are responsible for working directly with our public and private clients, managing the day-to-day details of search engagements, facilitating discussions with candidates and directing the research activities of internal teams. The core function of the Associate's role is relationship development and management, including networking and building strong relationships with senior clients and candidates. This role is an unique opportunity to interface with key senior executives as well as investors from the venture capital, private equity and public company community. Major Responsibilities Gather key information from the client to gain a thorough understanding of the company, culture and position requirements. Collaborates with the Partner and analyst to develop and execute the search strategy. Develops key search documentation including position descriptions, candidate assessments, status updates and reference reference reports. Helps drive research efforts and strategy to ensure the identification of high quality candidates while serving as a mentor and coach to the analyst. Leverage large language models (LLMs) to analyze new industries, market segments and competitive landscapes to better understand our clients. Designs AI prompts to extract strategic insights on industries, companies and executives. Contacts potential candidates to elicit interest and to assess the candidate's fit to the position description. Teams with the Partner to provide our clients with an informed perspective on candidates and provide updates on the overall progress of the search assignment. Ensures data capture of candidates, clients and search records within SPMB's databases. Add to the firm's candidate pool expertise by identifying new talent. Ideal Experience 2-4 years of progressive experience in executive search, internal recruiting, management consulting or software/technology sales where success depends on analytical thinking, relationship building, and strategic communication. Proven ability to excel in high-performance, client-facing environments that demand attention to detail, resilience and poise under pressure. Exposure to or curiosity about technology-driven industries from enterprise software and digital media to consumer tech, sustainability, or healthcare innovation. Skilled in leveraging CRM/ATS platforms to manage pipelines, track progress, and translate data into insight. Experienced or comfortable experimenting with AI-assisted tools to accelerate research, outreach and analysis. Demonstrated success in roles where process discipline, precision and presentation quality directly influenced client outcomes or revenue generation. An undergraduate degree is required. Critical Capabilities for Success Candidate Development & Market Insight Navigates executive networks and technical sales landscapes with confidence; able to identify, engage, and assess senior talent through research, relationship-building, and persuasive communication. Translates business strategy and client objectives into actionable search strategies that connect leadership needs with market realities. Project & Process Management Operates with precision across multiple concurrent projects, balancing urgency with discipline and ensuring every detail is tracked and communicated. Anticipates partner and client needs, takes ownership of deliverables, and brings structure to ambiguity. Analytical & AI Fluency Synthesizes complex qualitative and quantitative data into clear, actionable insights. Uses AI, automation, and creative prompt design to enhance speed, accuracy, and strategic thinking in research and reporting. Collaboration & Influence Builds trust quickly with partners, analysts, and clients by combining professionalism with authenticity. Uses influence and listening skills to align stakeholders, share insights, and drive progress toward shared goals. Communication & ProfessionalismCommunicates with clarity, polish, and purpose both in writing and in conversation. Adapts style to the audience, from senior executives to internal collaborators, ensuring every interaction reinforces SPMB's credibility and brand. Preferred Attributes Initiative & drive Action-oriented Ownership mentality Team-oriented Intellectually curious Quick learner Out-of-the-box thinker Aligns with the firm's core values & purpose For more information about SPMB, please visit our The pay scale for this role is $80K-$100K plus per search performance bonuses. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/22/2026
Full time
Job DescriptionJob DescriptionCompany Overview: SPMB is one of the largest retained executive search firms in North America focused exclusively on technology and innovation. With a 45-year legacy rooted in Silicon Valley, the firm has built leadership teams for disruptive startups and Fortune 500 companies alike, closing more than 400 searches annually. Clients include Google, Amazon, Disney, Comcast, and Major League Baseball. For an associate joining Managing Partner Mike Doonan's practice, SPMB offers a high-caliber yet human environment that stands apart from both the global giants and boutique firms. SPMB uniquely blends the reach and resources of a large firm with the agility of a boutique. Unlike global firms burdened by "off-limits" restrictions, SPMB can target virtually any candidate while also bringing far greater research capacity than smaller competitors. Its partners are known for rescuing searches that other firms cannot complete, thanks to deep fluency in technology and relentless urgency. Clients consistently cite SPMB's speed, consultative approach, and ability to deliver fresh candidate slates rather than recycled lists. What sets SPMB apart is its long-term, relationship-driven ethos. The majority of searches come from repeat clients or referrals, a testament to decades of trust built "brick by brick." The firm prioritizes cultural fit and integrity over transactions, treating candidates with respect and committing to diverse slates for every search. By investing in authentic partnerships, SPMB has created a network where today's candidates often return as tomorrow's clients. Even in challenging markets, SPMB has stayed true to this long-game philosophy, focusing on people, process improvements, and employee growth. Every search at SPMB is partner-led, heavily resourced, and executed with precision. The firm's proprietary 4 4 process aims to present four qualified finalists by week four, supported by dedicated research teams. Radical transparency is delivered through Thrive TRM, a co-developed platform giving clients real-time visibility into every candidate. Today, SPMB serves venture-backed startups, PE-backed growth firms, and global enterprises alike-helping companies of all sizes build the technology leadership needed to thrive in the digital era. Position Overview: SPMB is looking for a thoughtful and professional Associate who will serve as a key member of the client delivery team by driving the candidate development process throughout each VP and C-level executive search. This role partners closely with the Partner and analyst to help deliver outstanding outcomes for our clients. Associates are responsible for working directly with our public and private clients, managing the day-to-day details of search engagements, facilitating discussions with candidates and directing the research activities of internal teams. The core function of the Associate's role is relationship development and management, including networking and building strong relationships with senior clients and candidates. This role is an unique opportunity to interface with key senior executives as well as investors from the venture capital, private equity and public company community. Major Responsibilities Gather key information from the client to gain a thorough understanding of the company, culture and position requirements. Collaborates with the Partner and analyst to develop and execute the search strategy. Develops key search documentation including position descriptions, candidate assessments, status updates and reference reference reports. Helps drive research efforts and strategy to ensure the identification of high quality candidates while serving as a mentor and coach to the analyst. Leverage large language models (LLMs) to analyze new industries, market segments and competitive landscapes to better understand our clients. Designs AI prompts to extract strategic insights on industries, companies and executives. Contacts potential candidates to elicit interest and to assess the candidate's fit to the position description. Teams with the Partner to provide our clients with an informed perspective on candidates and provide updates on the overall progress of the search assignment. Ensures data capture of candidates, clients and search records within SPMB's databases. Add to the firm's candidate pool expertise by identifying new talent. Ideal Experience 2-4 years of progressive experience in executive search, internal recruiting, management consulting or software/technology sales where success depends on analytical thinking, relationship building, and strategic communication. Proven ability to excel in high-performance, client-facing environments that demand attention to detail, resilience and poise under pressure. Exposure to or curiosity about technology-driven industries from enterprise software and digital media to consumer tech, sustainability, or healthcare innovation. Skilled in leveraging CRM/ATS platforms to manage pipelines, track progress, and translate data into insight. Experienced or comfortable experimenting with AI-assisted tools to accelerate research, outreach and analysis. Demonstrated success in roles where process discipline, precision and presentation quality directly influenced client outcomes or revenue generation. An undergraduate degree is required. Critical Capabilities for Success Candidate Development & Market Insight Navigates executive networks and technical sales landscapes with confidence; able to identify, engage, and assess senior talent through research, relationship-building, and persuasive communication. Translates business strategy and client objectives into actionable search strategies that connect leadership needs with market realities. Project & Process Management Operates with precision across multiple concurrent projects, balancing urgency with discipline and ensuring every detail is tracked and communicated. Anticipates partner and client needs, takes ownership of deliverables, and brings structure to ambiguity. Analytical & AI Fluency Synthesizes complex qualitative and quantitative data into clear, actionable insights. Uses AI, automation, and creative prompt design to enhance speed, accuracy, and strategic thinking in research and reporting. Collaboration & Influence Builds trust quickly with partners, analysts, and clients by combining professionalism with authenticity. Uses influence and listening skills to align stakeholders, share insights, and drive progress toward shared goals. Communication & ProfessionalismCommunicates with clarity, polish, and purpose both in writing and in conversation. Adapts style to the audience, from senior executives to internal collaborators, ensuring every interaction reinforces SPMB's credibility and brand. Preferred Attributes Initiative & drive Action-oriented Ownership mentality Team-oriented Intellectually curious Quick learner Out-of-the-box thinker Aligns with the firm's core values & purpose For more information about SPMB, please visit our The pay scale for this role is $80K-$100K plus per search performance bonuses. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob DescriptionCompany Overview: SPMB is one of the largest retained executive search firms in North America focused exclusively on technology and innovation. With a 45-year legacy rooted in Silicon Valley, the firm has built leadership teams for disruptive startups and Fortune 500 companies alike, closing more than 400 searches annually. Clients include Google, Amazon, Disney, Comcast, and Major League Baseball. For an associate joining Managing Partner Mike Doonan's practice, SPMB offers a high-caliber yet human environment that stands apart from both the global giants and boutique firms. SPMB uniquely blends the reach and resources of a large firm with the agility of a boutique. Unlike global firms burdened by "off-limits" restrictions, SPMB can target virtually any candidate while also bringing far greater research capacity than smaller competitors. Its partners are known for rescuing searches that other firms cannot complete, thanks to deep fluency in technology and relentless urgency. Clients consistently cite SPMB's speed, consultative approach, and ability to deliver fresh candidate slates rather than recycled lists. What sets SPMB apart is its long-term, relationship-driven ethos. The majority of searches come from repeat clients or referrals, a testament to decades of trust built "brick by brick." The firm prioritizes cultural fit and integrity over transactions, treating candidates with respect and committing to diverse slates for every search. By investing in authentic partnerships, SPMB has created a network where today's candidates often return as tomorrow's clients. Even in challenging markets, SPMB has stayed true to this long-game philosophy, focusing on people, process improvements, and employee growth. Every search at SPMB is partner-led, heavily resourced, and executed with precision. The firm's proprietary 4 4 process aims to present four qualified finalists by week four, supported by dedicated research teams. Radical transparency is delivered through Thrive TRM, a co-developed platform giving clients real-time visibility into every candidate. Today, SPMB serves venture-backed startups, PE-backed growth firms, and global enterprises alike-helping companies of all sizes build the technology leadership needed to thrive in the digital era. Position Overview: SPMB is looking for a thoughtful and professional Associate who will serve as a key member of the client delivery team by driving the candidate development process throughout each VP and C-level executive search. This role partners closely with the Partner and analyst to help deliver outstanding outcomes for our clients. Associates are responsible for working directly with our public and private clients, managing the day-to-day details of search engagements, facilitating discussions with candidates and directing the research activities of internal teams. The core function of the Associate's role is relationship development and management, including networking and building strong relationships with senior clients and candidates. This role is an unique opportunity to interface with key senior executives as well as investors from the venture capital, private equity and public company community. Major Responsibilities Gather key information from the client to gain a thorough understanding of the company, culture and position requirements. Collaborates with the Partner and analyst to develop and execute the search strategy. Develops key search documentation including position descriptions, candidate assessments, status updates and reference reference reports. Helps drive research efforts and strategy to ensure the identification of high quality candidates while serving as a mentor and coach to the analyst. Leverage large language models (LLMs) to analyze new industries, market segments and competitive landscapes to better understand our clients. Designs AI prompts to extract strategic insights on industries, companies and executives. Contacts potential candidates to elicit interest and to assess the candidate's fit to the position description. Teams with the Partner to provide our clients with an informed perspective on candidates and provide updates on the overall progress of the search assignment. Ensures data capture of candidates, clients and search records within SPMB's databases. Add to the firm's candidate pool expertise by identifying new talent. Ideal Experience 2-4 years of progressive experience in executive search, internal recruiting, management consulting or software/technology sales where success depends on analytical thinking, relationship building, and strategic communication. Proven ability to excel in high-performance, client-facing environments that demand attention to detail, resilience and poise under pressure. Exposure to or curiosity about technology-driven industries from enterprise software and digital media to consumer tech, sustainability, or healthcare innovation. Skilled in leveraging CRM/ATS platforms to manage pipelines, track progress, and translate data into insight. Experienced or comfortable experimenting with AI-assisted tools to accelerate research, outreach and analysis. Demonstrated success in roles where process discipline, precision and presentation quality directly influenced client outcomes or revenue generation. An undergraduate degree is required. Critical Capabilities for Success Candidate Development & Market Insight Navigates executive networks and technical sales landscapes with confidence; able to identify, engage, and assess senior talent through research, relationship-building, and persuasive communication. Translates business strategy and client objectives into actionable search strategies that connect leadership needs with market realities. Project & Process Management Operates with precision across multiple concurrent projects, balancing urgency with discipline and ensuring every detail is tracked and communicated. Anticipates partner and client needs, takes ownership of deliverables, and brings structure to ambiguity. Analytical & AI Fluency Synthesizes complex qualitative and quantitative data into clear, actionable insights. Uses AI, automation, and creative prompt design to enhance speed, accuracy, and strategic thinking in research and reporting. Collaboration & Influence Builds trust quickly with partners, analysts, and clients by combining professionalism with authenticity. Uses influence and listening skills to align stakeholders, share insights, and drive progress toward shared goals. Communication & ProfessionalismCommunicates with clarity, polish, and purpose both in writing and in conversation. Adapts style to the audience, from senior executives to internal collaborators, ensuring every interaction reinforces SPMB's credibility and brand. Preferred Attributes Initiative & drive Action-oriented Ownership mentality Team-oriented Intellectually curious Quick learner Out-of-the-box thinker Aligns with the firm's core values & purpose For more information about SPMB, please visit our The pay scale for this role is $80K-$100K plus per search performance bonuses. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/22/2026
Full time
Job DescriptionJob DescriptionCompany Overview: SPMB is one of the largest retained executive search firms in North America focused exclusively on technology and innovation. With a 45-year legacy rooted in Silicon Valley, the firm has built leadership teams for disruptive startups and Fortune 500 companies alike, closing more than 400 searches annually. Clients include Google, Amazon, Disney, Comcast, and Major League Baseball. For an associate joining Managing Partner Mike Doonan's practice, SPMB offers a high-caliber yet human environment that stands apart from both the global giants and boutique firms. SPMB uniquely blends the reach and resources of a large firm with the agility of a boutique. Unlike global firms burdened by "off-limits" restrictions, SPMB can target virtually any candidate while also bringing far greater research capacity than smaller competitors. Its partners are known for rescuing searches that other firms cannot complete, thanks to deep fluency in technology and relentless urgency. Clients consistently cite SPMB's speed, consultative approach, and ability to deliver fresh candidate slates rather than recycled lists. What sets SPMB apart is its long-term, relationship-driven ethos. The majority of searches come from repeat clients or referrals, a testament to decades of trust built "brick by brick." The firm prioritizes cultural fit and integrity over transactions, treating candidates with respect and committing to diverse slates for every search. By investing in authentic partnerships, SPMB has created a network where today's candidates often return as tomorrow's clients. Even in challenging markets, SPMB has stayed true to this long-game philosophy, focusing on people, process improvements, and employee growth. Every search at SPMB is partner-led, heavily resourced, and executed with precision. The firm's proprietary 4 4 process aims to present four qualified finalists by week four, supported by dedicated research teams. Radical transparency is delivered through Thrive TRM, a co-developed platform giving clients real-time visibility into every candidate. Today, SPMB serves venture-backed startups, PE-backed growth firms, and global enterprises alike-helping companies of all sizes build the technology leadership needed to thrive in the digital era. Position Overview: SPMB is looking for a thoughtful and professional Associate who will serve as a key member of the client delivery team by driving the candidate development process throughout each VP and C-level executive search. This role partners closely with the Partner and analyst to help deliver outstanding outcomes for our clients. Associates are responsible for working directly with our public and private clients, managing the day-to-day details of search engagements, facilitating discussions with candidates and directing the research activities of internal teams. The core function of the Associate's role is relationship development and management, including networking and building strong relationships with senior clients and candidates. This role is an unique opportunity to interface with key senior executives as well as investors from the venture capital, private equity and public company community. Major Responsibilities Gather key information from the client to gain a thorough understanding of the company, culture and position requirements. Collaborates with the Partner and analyst to develop and execute the search strategy. Develops key search documentation including position descriptions, candidate assessments, status updates and reference reference reports. Helps drive research efforts and strategy to ensure the identification of high quality candidates while serving as a mentor and coach to the analyst. Leverage large language models (LLMs) to analyze new industries, market segments and competitive landscapes to better understand our clients. Designs AI prompts to extract strategic insights on industries, companies and executives. Contacts potential candidates to elicit interest and to assess the candidate's fit to the position description. Teams with the Partner to provide our clients with an informed perspective on candidates and provide updates on the overall progress of the search assignment. Ensures data capture of candidates, clients and search records within SPMB's databases. Add to the firm's candidate pool expertise by identifying new talent. Ideal Experience 2-4 years of progressive experience in executive search, internal recruiting, management consulting or software/technology sales where success depends on analytical thinking, relationship building, and strategic communication. Proven ability to excel in high-performance, client-facing environments that demand attention to detail, resilience and poise under pressure. Exposure to or curiosity about technology-driven industries from enterprise software and digital media to consumer tech, sustainability, or healthcare innovation. Skilled in leveraging CRM/ATS platforms to manage pipelines, track progress, and translate data into insight. Experienced or comfortable experimenting with AI-assisted tools to accelerate research, outreach and analysis. Demonstrated success in roles where process discipline, precision and presentation quality directly influenced client outcomes or revenue generation. An undergraduate degree is required. Critical Capabilities for Success Candidate Development & Market Insight Navigates executive networks and technical sales landscapes with confidence; able to identify, engage, and assess senior talent through research, relationship-building, and persuasive communication. Translates business strategy and client objectives into actionable search strategies that connect leadership needs with market realities. Project & Process Management Operates with precision across multiple concurrent projects, balancing urgency with discipline and ensuring every detail is tracked and communicated. Anticipates partner and client needs, takes ownership of deliverables, and brings structure to ambiguity. Analytical & AI Fluency Synthesizes complex qualitative and quantitative data into clear, actionable insights. Uses AI, automation, and creative prompt design to enhance speed, accuracy, and strategic thinking in research and reporting. Collaboration & Influence Builds trust quickly with partners, analysts, and clients by combining professionalism with authenticity. Uses influence and listening skills to align stakeholders, share insights, and drive progress toward shared goals. Communication & ProfessionalismCommunicates with clarity, polish, and purpose both in writing and in conversation. Adapts style to the audience, from senior executives to internal collaborators, ensuring every interaction reinforces SPMB's credibility and brand. Preferred Attributes Initiative & drive Action-oriented Ownership mentality Team-oriented Intellectually curious Quick learner Out-of-the-box thinker Aligns with the firm's core values & purpose For more information about SPMB, please visit our The pay scale for this role is $80K-$100K plus per search performance bonuses. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
