You will design, build, and maintain scalable data pipelines and automation systems to support cloud cost visibility and performance insights. The role involves partnering with Engineering and Finance stakeholders to optimize data systems for reliability, cost efficiency, and usage-based decision-making.
You will design technical specifications and develop custom C#/.NET extensions to maintain and enhance InRiver PIM platform integrations. Additionally, you will diagnose technical issues and collaborate with the engineering team to optimize data models and system workflows.
You will build and maintain backend services, automation workflows, and Salesforce API integrations to support a GTM data platform. Additionally, you will contribute to AI-assisted sales automation initiatives using Java or Python within an agile environment.
You will write and maintain Python scripts to integrate security gates like SAST, DAST, and SCA into CI/CD pipelines. Additionally, you will tune scanning tools to reduce false positives and provide code-level remediation guidance to development teams.
Develop predictive models and quantitative analytics to prioritize security vulnerabilities based on risk and business impact. Structure massive security telemetry datasets and build machine learning algorithms to filter scanning noise and false positives.
Design and build agentic workflows that coordinate tools, services, and data while turning successful prototypes into production systems. Mentor engineers and collaborate with leadership to shape an agentic-first technical strategy across the organization.
Design and build agentic workflows that coordinate tools, services, and data while turning successful prototypes into production systems. Collaborate with engineering leaders to shape an agentic-first technical strategy and mentor team members on best practices.
You will own performance marketing for the US B2B market, managing Google Ads and other paid acquisition channels to drive lead generation. Additionally, you will mentor a PPC specialist and collaborate with cross-functional teams to optimize the full B2B funnel through experimentation and data analysis.
The engineer will design and implement backend services using Java and Spring Boot while maintaining the Angular frontend. They will lead the transition to domain-driven structures and architect scalable RESTful APIs.
The role involves auditing AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity. You will also mentor the engineering team on infrastructure standards and evaluate AI-assisted development workflows.
The Senior Data Engineer will lead the replacement of a legacy third-party ingestion tool with a custom-built ETL pipeline within an AWS environment. They will also collaborate with data science teams to ensure output aligns with downstream attribution and scoring logic.
You will act as the first point of contact for potential candidates, introducing them to opportunities and guiding them through the talent pipeline. Additionally, you will maintain accurate data in CRM systems and collaborate with team members to ensure a steady flow of qualified leads.
You will act as the first point of contact for potential candidates, introducing them to opportunities and guiding them through the recruitment pipeline. Additionally, you will manage candidate data in the CRM and collaborate with teams to ensure a steady flow of qualified leads.
You will act as the first point of contact for potential candidates, introducing them to opportunities and guiding them through the talent pipeline. Additionally, you will manage candidate data in CRM systems and collaborate with internal teams to ensure a steady flow of qualified leads.
You will act as the first point of contact for potential candidates, introducing them to opportunities and guiding them through the talent pipeline. Additionally, you will manage candidate data in CRM systems and collaborate with internal teams to ensure a steady flow of qualified leads.
Design and implement robust backend services using Java and Spring Boot while maintaining the Angular frontend. Lead the transition toward domain-driven design and architect scalable RESTful APIs.
The Regional Accountant will manage end-to-end financial operations for Latin America, including contractor onboarding, invoice processing, and payment reconciliation. They will also coordinate with cross-functional teams and monitor local financial and regulatory changes in Brazil and Colombia.
The Regional Accountant will manage financial operations across Latin America, focusing on contractor onboarding, invoice reconciliation, and payment processing. They will also coordinate with internal teams and monitor local financial and regulatory changes in Brazil and Colombia.
The Regional Accountant will manage financial operations across Latin America, including contractor onboarding, invoice reconciliation, and payment processing. They will also coordinate with IT, HR, and Delivery teams while monitoring local financial and regulatory changes.
The engineer will design technical specifications, develop custom C#/.NET extensions, and build upstream and downstream integrations for the InRiver PIM platform. They are also responsible for diagnosing technical issues, maintaining data integrity, and recommending updates to the data model.
The Senior Full Stack Engineer will develop and extend an internal developer portal by managing a custom Java backend and maintaining or rewriting the frontend in TypeScript. They will also integrate the application with various database environments and ensure high code quality through testing and performance profiling.
You will own the full client lifecycle, from prospecting and lead generation to pitching and contract drafting. Additionally, you will manage revenue quotas and represent the company at industry events and client sessions.
The Senior Salesforce Developer will design, develop, and maintain scalable custom components and integrations within Sales Cloud and Service Cloud environments. They will collaborate with cross-functional teams throughout the software development lifecycle to deliver high-quality business functionality.
You will engineer, automate, and manage robust data ingestion workflows while ensuring seamless integration with downstream systems like ServiceNow. Additionally, you will leverage Snowflake and OpenTelemetry to optimize data flow, maintain system observability, and ensure data integrity.
You will lead the integration of identity and entitlement services onto a new API shielding layer during a critical platform migration. This involves managing infrastructure as code, executing system cutovers, and ensuring data integrity across permissioning systems.
The role involves managing the health of the ServiceNow Discovery ecosystem and translating operational runbooks into structured, automated workflows. You will also interpret telemetry and infrastructure data to drive engineering improvements and ensure high data quality.
You will build robust server-side solutions for a SaaS platform and contribute to architecture decisions for reusable client integration systems. Additionally, you will collaborate with cross-functional teams to plan sprints and participate in code reviews and CI/CD processes.
The Account Executive will own the full client lifecycle, from lead generation and pitching to contract drafting and delivery handoff. They are responsible for managing a revenue quota, identifying market trends, and representing the company at networking events and client sessions.
You will own the full client lifecycle, including prospecting, lead generation, pitching, and contract drafting. Additionally, you will represent the company at events and collaborate with internal teams to ensure successful delivery.
The Business Development Executive will manage the full client lifecycle, from lead generation and pitching to contract drafting and delivery handoff. They are responsible for identifying market trends, building client relationships, and meeting revenue quotas through strategic sales efforts.
Architect, develop, and maintain high-performance e-commerce solutions while driving platform strategy and roadmap initiatives. Provide technical support, conduct code reviews, and collaborate with product management to ensure system excellence.
The engineer will build and maintain full-stack features for a healthcare platform using React, Next.js, and Node.js. They will also contribute to AI and LLM-adjacent codebases while collaborating with cross-functional teams in an Agile environment.
Serve as a trusted advisor to C-level executives to define and lead AI-driven digital transformation strategies. Oversee account performance and collaborate with delivery and engineering teams to ensure successful project execution.
The QA/Support Engineer will author and QA AI-driven automations for healthcare workflows while executing high-volume repetitive tasks. They will also maintain technical documentation and contribute to the continuous improvement of internal developer tooling.
Design and build AI agents to analyze infrastructure discovery logs and automate complex troubleshooting processes. Manage data-processing pipelines and API integrations to feed telemetry data into the AI ecosystem.
The ServiceNow Discovery Engineer will manage the health of the Discovery ecosystem, including MID Servers and discovery schedules. They will also translate operational runbooks into structured workflows to improve engineering efficiency and data quality.
The Senior Salesforce Consultant will configure and enhance Salesforce to support Sales and Marketing processes, including custom fields, workflows, and automations. They will also translate business requirements into practical solutions and improve reporting visibility into marketing and sales ROI.
Design and build AI agents that analyze infrastructure discovery logs to automate troubleshooting and classify failures. Manage data-processing pipelines and API integrations to feed telemetry from monitoring platforms into the AI ecosystem.
The Senior Salesforce Consultant will configure and enhance Salesforce to support Sales and Marketing processes, including managing custom fields, workflows, and automations. They will also translate business requirements into practical solutions and improve reporting visibility into marketing and sales ROI.
The Senior Full Stack Engineer will maintain and modernize employee lifecycle applications while strengthening integrations with enterprise platforms like Workday and iCIMS. They will also evolve these tools toward AI-enabled, agent-based workflows to improve scalability and user experience.
Design and build AI-powered applications and backend services while developing agentic workflows that integrate with enterprise tools. Collaborate with cross-functional teams to ensure scalable deployment, system reliability, and efficient performance of AI systems.
Develop and maintain Java-based backend services and scalable data processing components. Collaborate with engineering teams to support system design, testing, and production operations.
Design and develop scalable data processing solutions using Spark and EMR to support AI and product teams. Collaborate on building distributed pipelines while ensuring performance, reliability, and alignment with data governance standards.
The Lead AI Engineer will architect generative AI workflows using RAG and LLM APIs to automate cloud configuration and security policies. They will also provide technical leadership and mentorship to a distributed team while driving AI enablement initiatives.
Design, build, and maintain ETL pipelines and data workflows across multiple environments to support institutional analytics. Collaborate with stakeholders to customize data solutions while ensuring clean, reusable code and monitoring production performance.
You will build and maintain backend services, APIs, and portal experiences for a multi-tenant clinical platform using an agentic engineering workflow. This involves directing AI agents through planning, implementation, and testing while ensuring rigorous verification of all generated output.
Design, implement, and maintain Salesforce CI/CD pipelines using Copado while managing deployments across development, QA, UAT, and production environments. Partner with cross-functional teams to improve release governance, automate deployment tasks, and troubleshoot metadata or synchronization issues.
Design and implement scalable Salesforce Data Cloud solutions including data ingestion, identity resolution, and segmentation workflows. Partner with cross-functional teams to integrate Data Cloud with downstream systems and ensure data quality and governance.
Design, develop, and deploy custom Salesforce CRM solutions using Apex, Lightning Web Components, and Flows. Collaborate with stakeholders to implement AI-assisted workflows and maintain platform performance through secure development practices.
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing Cloud to drive customer engagement. Collaborate with marketing and data teams to manage audience segmentation, automation workflows, and campaign performance.
Design and build AI-powered applications and backend services that integrate LLM capabilities into production systems. Develop AI agents and MCP-based interfaces to enable secure interaction between intelligent systems and enterprise tools.
Design, build, and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Migrate legacy ETL workloads to a medallion architecture while ensuring data quality and governance through Unity Catalog.
Design, build, and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Migrate legacy ETL workloads to a governed Lakehouse architecture while ensuring data quality and performance optimization.
Lead end-to-end technical delivery for Salesforce and AI agent initiatives while bridging the gap between business stakeholders and engineering teams. You will design scalable solutions, mentor developers, and manage project execution to ensure high-quality, maintainable outcomes.
Design, build, and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Migrate legacy ETL workloads to a governed Lakehouse architecture while ensuring data quality and performance optimization.
You will design and operate batch and streaming data pipelines on Databricks using a medallion architecture. Additionally, you will migrate legacy ETL workloads to the Lakehouse while ensuring data quality and governance.
The Consumer Tech Trainer will lead a Unified Commerce training program to upskill internal teams on Shopify operations and digital tools. They will act as a bridge between technical delivery and operational teams to document workflows, manage program lifecycles, and address adoption bottlenecks.
The Tech Lead will balance hands-on backend development in Java and Spring Boot with Angular frontend work while leading the squad toward domain-driven design. They are responsible for mentoring junior developers, upholding engineering standards, and architecting scalable RESTful APIs.
You will build and maintain full-stack cloud-native applications using React, Node.js, and C# while optimizing database performance across SQL, PostgreSQL, and DynamoDB. Additionally, you will manage serverless and containerized AWS services and maintain CI/CD pipelines to ensure high-quality software delivery.
The Senior Data Scientist will drive statistical execution and algorithmic validation of Meridian MMM frameworks to provide multi-objective spend recommendations. They will also collaborate with engineering teams to resolve pipeline requirements and ensure data integrity through rigorous analytical validation.
Design, develop, and maintain full-stack web applications using ReactJS, Node.js, C#, and Python. Manage cloud infrastructure on AWS and implement automated testing and CI/CD workflows.
Lead a cross-functional pod of engineers and data scientists to maintain 24/7 delivery velocity across global timezones. Oversee technical workstreams including ASPM integrations, AI-enabled secure code scanning, and regional technical escalations.
The Service Appointment Coordinator will monitor and process incoming dealership service appointment requests via Zendesk and internal platforms. This role involves accurately scheduling appointments, updating system statuses, and escalating unresolved cases to the appropriate internal teams.
The Senior BI Product Manager will act as a subject-matter expert for Quote-to-Cash and Order-to-Cash processes, bridging the gap between financial data and business decision-making. They will collaborate with cross-functional teams to identify operational friction points and translate them into actionable BI, Machine Learning, and AI solutions.
The Senior BI Product Manager will act as a subject-matter expert for Quote-to-Cash and Order-to-Cash processes, bridging the gap between financial data and business decision-making. They will collaborate with cross-functional teams to identify operational friction points and translate them into actionable BI, AI, and machine learning solutions.
The Senior Business Analyst will bridge the gap between business stakeholders and technical teams by translating business needs into actionable user stories and functional specifications. They will also manage the end-to-end requirements lifecycle, including process mapping, UAT coordination, and stakeholder communication.
The Tech Lead will guide a squad in building backend services using Java and Spring Boot while maintaining an Angular frontend. They are responsible for driving deliverables, mentoring junior developers, and implementing domain-driven design patterns.
The developer will own complex post-sales platforms and AI-enabled workflows using Apex and LWC. They will also manage platform health, triage critical alerts, and handle incident management for Service Cloud features.
The AI Platform Tech Lead will design, build, and maintain enterprise AI agents, skills, and RAG integrations across various platforms. They will also establish technical standards for development, testing, and deployment while ensuring secure system integrations.
You will design, build, and maintain AI agents, skills, and RAG integrations while establishing technical standards for the enterprise AI ecosystem. Additionally, you will lead technical solution reviews, mentor contributors, and ensure all AI systems adhere to security and governance requirements.
You will architect and oversee Shopify stores while providing strategic guidance on performance, SEO, and conversion optimization. Additionally, you will lead development teams, mentor developers, and collaborate with sales to scope projects and identify growth opportunities.
You will own the product information lifecycle by validating, enriching, and syndicating data through inRiver across various channels. Additionally, you will resolve data gaps, maintain syndication templates, and support business teams with product data issues.
You will design and scale core platform capabilities for an enterprise DEX platform using C#/.NET and React. The role involves mentoring junior engineers, collaborating with UX/UI designers, and utilizing AI-assisted tools to optimize performance and reliability.
You will own and lead the enterprise-wide performance engineering function as a horizontal shared service across a global digital ecosystem. This involves designing performance tests, integrating automated validation into CI/CD pipelines, and partnering with SRE teams to resolve bottlenecks.
You will architect and oversee Shopify stores while providing strategic guidance on performance, SEO, and conversion optimization. Additionally, you will lead development teams, mentor staff, and collaborate with sales to scope projects and identify growth opportunities.
The Data Steward will validate and upload product data into PIM systems while resolving data gaps with stakeholders. They are also responsible for maintaining syndication templates and reporting on product launch status.
You will build and maintain scalable backend services and responsive frontend interfaces to validate and resolve data issues for a marketing analytics platform. The role involves defining problems, gathering context, and shaping practical solutions while leveraging AI-assisted development tools.
You will lead the design and deployment of containerized applications while serving as the primary owner of code quality and architecture. The role involves integrating complex business logic and AI-powered features into a large-scale marketing analytics platform while guiding senior engineers.
The Senior Product Owner will define the strategic vision and backlog for internal security tools, developer portals, and platform artifacts. They will bridge the gap between executive security mandates and Agile delivery pods to reduce developer friction and systemic risk.
Develop user-facing features using React and maintain robust Node.js backend services for an international product team. Architect full-stack solutions and optimize components for maximum performance across various web platforms.
Design, build, and maintain scalable and secure backend services and APIs within a microservices architecture. Collaborate with cross-functional teams to translate use cases into production-ready features and optimize database schemas.
Architect and scale a modern data platform by designing production-grade ETL/ELT pipelines and optimizing Snowflake schemas. Implement DataOps practices, workflow orchestration, and automated testing to ensure data reliability and accessibility.
Architect and build automated security layers within the SDLC, including AI-enabled secure code scanning and CI/CD tooling integration. Provide code-level remediation guidance to development teams and develop automated security runbooks.
Architect and build automated security layers within the SDLC, including AI-enabled secure code scanning and CI/CD tooling integration. Provide code-level remediation guidance to development teams and develop automated security runbooks.
Own the technical architecture and release process for a React Native reader application using Expo and EAS. Focus on improving CI/CD workflows, maintaining app store releases, and establishing engineering best practices.
Lead the migration from a monolithic database to domain-specific data stores within Google Cloud Platform. Implement complex data operations including backfills, data mapping, and Change Data Capture using Datastream and Dataflow.
Lead the migration of a monolithic database to multiple domain-specific data stores within Google Cloud Platform. Implement complex data operations including backfills, data mapping, and Change Data Capture using Datastream and Dataflow.
Own production reliability and troubleshoot a high-scale live hiring events platform serving enterprise clients. Collaborate with Client Support and GTM teams to resolve issues and maintain SLA compliance across distributed backend systems.
Lead the migration of a monolithic database to multiple domain-specific data stores within Google Cloud Platform. Implement complex data operations including backfills, data mapping, and Change Data Capture using Datastream and Dataflow.
Lead the migration from a monolithic database to domain-specific data stores within Google Cloud Platform. Implement complex data operations including backfills, data mapping, and Change Data Capture using Datastream and Dataflow.
Design and maintain scalable, secure backend systems for a high-scale consumer dating platform using Kotlin and AWS. Lead projects from architecture to production while mentoring junior engineers and establishing technical standards.
